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PRODID:-//The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory - ECPv6.11.2//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://radcollaboratory.rutgers.edu
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250627T130000
DTEND;TZID=UTC:20250627T163000
DTSTAMP:20260903T045952
CREATED:20250613T080038Z
LAST-MODIFIED:20250613T152817Z
UID:2405-1751029200-1751041800@radcollaboratory.rutgers.edu
SUMMARY:AI and Data Science Summer Networking Event
DESCRIPTION:Rutgers faculty\, staff\, and students are encouraged to attend\, especially those participating in summer research projects. \n\nEvent Details: \n\nDate: Friday\, June 27\nTime: 1:00 PM – 4:30 PM\nLocation: Room 120\, Institute for Quantitative Biomedicine Proteomics Building\, 174 Frelinghuysen Road\, Piscataway – Busch Campus (campus map)\nParking: Available in Lot 58 and Lots A\, B\, and C (parking map)\nTransit: A short walk from the Rutgers bus stop at Alison Road Classroom (ARC)\nRegister by June 25 at 5pm: go.rutgers.edu/rad_summer2025\n\nRequest for 2-minute Lightning Talks Focused on Research Collaboration: \nRutgers faculty and researchers are invited to present a 2-minute lightning talk describing their AI and data science research\, and how their work is conducted in collaboration with external partners (other academic institutions\, industry\, nonprofit organizations\, community-based organizations\, governmental agencies\, etc.). Please indicate your interest in presenting a lightning talk when you register. Requests for lighting talks are due on Thursday\, June 19 at 11:59pm EDT. You will be notified by Monday\, June 23 if you’re selected to present. \nAbout the RAD Collaboratory: \nThe RAD Collaboratory is a Chancellor Signature Initiative at Rutgers–New Brunswick\, overseen by the Office of the Vice Provost for Research (OVPR). It supports collaborative research in data science and AI/machine learning\, student programming\, and community engagement. \nIf you have any questions about this event\, please contact Tracy Higgins at t.higgins@echo.rutgers.edu.
URL:https://radcollaboratory.rutgers.edu/event/summer-networking/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250602
DTEND;VALUE=DATE:20250607
DTSTAMP:20260903T045952
CREATED:20250428T080004Z
LAST-MODIFIED:20250528T155002Z
UID:2314-1748822400-1749254399@radcollaboratory.rutgers.edu
SUMMARY:Summer Boot Camp: Introduction to Basic Statistical Analysis Methods for Biological and Biomedical Researchers
DESCRIPTION:5/28/2025 UPDATE: Due to low enrollment\, this boot camp has been cancelled. Information on future offerings is forthcoming. \n  \n\nThe Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory in partnership with the Rutgers Office of Statistical Consulting invite you to apply for the “Introduction to Basic Statistical Analysis for Biomedical Researchers” course. The RAD Collaboratory is a New Brunswick Chancellor Signature Initiative overseen by the Office of the Vice Provost for Research (OVPR) that fosters collaborative data science and artificial intelligence/machine learning research\, student programming\, and community engagement in partnership with related initiatives across Rutgers. \nThis one-credit summer Boot Camp course is designed specifically for researchers in the biological and biomedical sciences who are looking for a time-efficient\, practical introduction to core statistical methods commonly used in analyzing biological and biomedical data. The Boot Camp will focus on real-world problems that researchers frequently encounter — such as comparing treatment groups\, analyzing associations\, interpreting p-values and confidence intervals\, and handling non-normally distributed data. Topics to be covered will include essential tools like t-tests\, chi-squared tests\, non-parametric alternatives (e.g.\, Wilcoxon rank-sum and Kruskal-Wallis tests)\, basic regression models\, and power analysis\, all of which will be demonstrated through hands-on exercises using relevant biodata. The Boot Camp is ideal for those who may have had some prior exposure to statistics but want/need clearer guidance on applying the right methods to the right problems in their research. Participants will gain a deeper understanding of statistical analysis\, allowing them to avoid common errors and make more informed decisions when interpreting biodata\, facilitating higher-quality\, more-reproducible research and increased opportunities for publication in prestigious journals. \nRegistration is limited. Application process details below. \nDates: June 2-6\, 2025 \nLocation: Rutgers University\, Proteomics Building\, Busch Campus \nThe Experience:\n\nOver the period of 5 full days\, students will gain a foundational understanding of essential statistical analysis methods.  The format is 90 – 100 minutes lecture\, plus 60 – 75 minutes for computer lab/software use each day.  Students need to bring their own laptops\n\nWho Should Participate:\n\nGraduate students\, advanced undergraduates\, postdoctoral trainees\, and other scientists interested in learning or relearning statistical analysis.\n\nApplications/Acceptance:\n\nSend an email to iqb-bootcamp@rcsb.org by Monday\, April 28th that includes:\n\na brief statement (up to 100 words) outlining your research interests and how you anticipate using statistical analysis in future research\nresume\nan unofficial transcript\n\n\n\nAccepted participants will be notified starting Monday\, May 5th and no later than Monday\, May 12th. Participants will be provided a Special Permission Number for registration purposes. \nRegistration: \n\nAccepted students must register at nbregistrar.rutgers.edu for the IQB Summer Boot Camp.\n\n  \nFor more information\, visit https://iqb.rutgers.edu/bootcamp-2025 
URL:https://radcollaboratory.rutgers.edu/event/summer-boot-camp-2025/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250508T130000
DTEND;TZID=UTC:20250508T173000
DTSTAMP:20260903T045952
CREATED:20250307T080040Z
LAST-MODIFIED:20250307T205919Z
UID:2100-1746709200-1746725400@radcollaboratory.rutgers.edu
SUMMARY:Workshop: Enhancing PDB Deposition and Validation Practices
DESCRIPTION:Join the RAD Collaboratory and the RCSB PDB at Rutgers for a hands-on workshop for depositors at all stages of PDB data submission on Thursday\, May 8\, 2025. \nAttendees will become proficient in leveraging various OneDep features and tools\, including ORCiD management\, validating data\, submitting batches of structures\, and completing depositions with minimal manual input. \nRegistration: Click here to register \n\n  \n\n\nAgenda:  \n1:00pm: Preparing PDBx/mmCIF files; validating structures before deposition; and OneDep overview \n2:00pm: Tutorial 1: Prepare\, validate\, and correct errors \n3:00pm: Coffee Break \n3:15pm: Tutorial 2: Making OneDep easy: ORCiD features\, checking sequences and ligands\, reviewing validation \n4:30pm: Discussion: Share your stories (all participants); One-on-one help provided where possible. \n5:30pm: Conclusion and Acknowledgements \nTime & Location: \n\nDate:  Thursday\, May 8\, 2025\nTime: 1:00 pm – 5:30 pm\nLocation: Room 120\, Institute for Quantitative Biomedicine (building labeled Proteomics).\n\n\n\nParking: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus. Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty & Staff lots across all campuses.\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nRutgers Bus System: If you’re using the Rutgers bus system\, the Alison Road Classroom (ARC) Building/Science Buildings bus stop is a short walk to IQB. The C\, REXB\, B\, A\, H\, and BL bus routes all stop at ARC. \nQuestions: Contact info@rcsb.org.
URL:https://radcollaboratory.rutgers.edu/event/pdb-deposition-validation/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250429T093000
DTEND;TZID=UTC:20250429T143000
DTSTAMP:20260903T045952
CREATED:20250207T080050Z
LAST-MODIFIED:20250207T210128Z
UID:1823-1745919000-1745937000@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Large Language Models and their Applications in Science and Engineering
DESCRIPTION:The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials. \nInstructors: \n\nDr. Zhao Zhang\, Assistant Professor\, School of Engineering – ECE\nDr. Stephen K. Burley\, University Professor\, School of Arts and Sciences – C&CB\n\nDescription of Training Program:\nFour related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students\, PhD students\, postdoctoral fellows\, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures. \nTutorial Dates/Topics:\nI. February 18th – Introduction to Deep Learning\nII. March 18th – Introduction to PyTorch\nIII. April 15th – Distributed Neural Network Training\nIV. April 29th – Large Language Models and their Applications in Science and Engineering \nWe will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days. \nTutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday\, February 12\, 2025 at 11:59pm EST.
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-llm/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250426
DTEND;VALUE=DATE:20250427
DTSTAMP:20260903T045952
CREATED:20250210T080011Z
LAST-MODIFIED:20250210T184529Z
UID:1842-1745625600-1745711999@radcollaboratory.rutgers.edu
SUMMARY:Rutgers Day
DESCRIPTION:Visit the RAD Collaboratory table at Rutgers Day on Saturday\, April 26\, 2025! \nThe table will be located on the Busch campus.
URL:https://radcollaboratory.rutgers.edu/event/rutgers-day/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250416T120000
DTEND;TZID=UTC:20250416T130000
DTSTAMP:20260903T045952
CREATED:20250414T080012Z
LAST-MODIFIED:20250416T144334Z
UID:2295-1744804800-1744808400@radcollaboratory.rutgers.edu
SUMMARY:Seminar: Diamond: Democratizing Large Foundation Model Training for Science
DESCRIPTION:The Rutgers University Institute for Quantitative Biomedicine in collaboration with the RAD Collaboratory and the Protein Data Bank invite you to the following seminar: \n  \nZhao Zhang\, Rutgers University \nDiamond: Democratizing Large Foundation Model Training for Science \nWednesday\, April 16 | 12:00 PM \nIn Person: Proteomics Building\, Room 120\nZoom: go.rutgers.edu/gvyyc2xu \nAbstract: \nDiamond is a service designed to facilitate large model training across GPU clusters for scientists. It exposes web user interface to build container images\, manage training jobs\, monitor job progress\, and manage data and provenance across clusters. Diamond relies on Globus Auth\, Globus Transfer/Search\, and Globus Compute for authentication\, data management\, and container/job management. So far\, Diamond has been tested on NCSA Delta\, TACC Frontera\, and Lonestar6. We aim to release the alpha version of Diamond in early April and to support all NAIRR Pilot GPU resources. In this talk\, I will show a demo of running OpenFold using Diamond and discuss various opportunities of applying modern deep learning techniques for structural biology.
URL:https://radcollaboratory.rutgers.edu/event/seminar-april16/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250415T093000
DTEND;TZID=UTC:20250415T143000
DTSTAMP:20260903T045952
CREATED:20250207T080039Z
LAST-MODIFIED:20250207T205935Z
UID:1821-1744709400-1744727400@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Distributed Neural Network Training
DESCRIPTION:The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials. \nInstructors: \n\nDr. Zhao Zhang\, Assistant Professor\, School of Engineering – ECE\nDr. Stephen K. Burley\, University Professor\, School of Arts and Sciences – C&CB\n\nDescription of Training Program:\nFour related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students\, PhD students\, postdoctoral fellows\, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures. \nTutorial Dates/Topics:\nI. February 18th – Introduction to Deep Learning\nII. March 18th – Introduction to PyTorch\nIII. April 15th – Distributed Neural Network Training\nIV. April 29th – Large Language Models and their Applications in Science and Engineering \nWe will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days. \nTutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday\, February 12\, 2025 at 11:59pm EST.
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-distributed-neural-network/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250408T130000
DTEND;TZID=UTC:20250408T163000
DTSTAMP:20260903T045952
CREATED:20250207T080041Z
LAST-MODIFIED:20250408T131314Z
UID:1810-1744117200-1744129800@radcollaboratory.rutgers.edu
SUMMARY:Artificial Intelligence/Machine Learning Networking Event
DESCRIPTION:Join the RAD Collaboratory for a Networking Event focused on Artificial Intelligence/Machine Learning on Tuesday\, April 8\, 2025. \nRegistration: Click here to register – please register by Monday\, April 7. \n\nAgenda: Click here to download the agenda. \n\nLightning talks focused on the development and application of AI/ML tools\nBriefings on university\, regional\, and national cyberinfrastructure supporting AI/ML research and training opportunities\nSummary of federal\, state\, and private funding mechanisms for RAD partnerships\nLight networking reception\n\nRequest for Lightning Talks: For those who manage Rutgers AI/ML projects\, you are invited to submit a presentation title and summary to present a 5-minute Lightning Talk at the April 8 event when you register. Please indicate your interest by Sunday\, March 30 at 11:59pm EDT. You will be notified by Tuesday\, April 1 if you have been selected to present. \nTime & Location: \n\nDate:  Tuesday\, April 8\, 2025\nTime: 1:00 pm – 4:30 pm\nLocation: Room 120\, Institute for Quantitative Biomedicine (building labeled Proteomics).\n\n\n\nParking: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus. Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty & Staff lots across all campuses.\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nRutgers Bus System: If you’re using the Rutgers bus system\, the Alison Road Classroom (ARC) Building/Science Buildings bus stop is a short walk to IQB. The C\, REXB\, B\, A\, H\, and BL bus routes all stop at ARC. \nQuestions: Contact Michelle Sanghera at msanghera@iqb.rutgers.edu
URL:https://radcollaboratory.rutgers.edu/event/ai-networking/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250318T093000
DTEND;TZID=UTC:20250318T110000
DTSTAMP:20260903T045952
CREATED:20250207T080054Z
LAST-MODIFIED:20250207T205710Z
UID:1817-1742290200-1742295600@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Introduction to PyTorch
DESCRIPTION:The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials. \nInstructors: \n\nDr. Zhao Zhang\, Assistant Professor\, School of Engineering – ECE\nDr. Stephen K. Burley\, University Professor\, School of Arts and Sciences – C&CB\n\nDescription of Training Program:\nFour related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students\, PhD students\, postdoctoral fellows\, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures. \nTutorial Dates/Topics:\nI. February 18th – Introduction to Deep Learning\nII. March 18th – Introduction to PyTorch\nIII. April 15th – Distributed Neural Network Training\nIV. April 29th – Large Language Models and their Applications in Science and Engineering \nWe will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days. \nTutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday\, February 12\, 2025 at 11:59pm EST.
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-pytorch/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250305T130000
DTEND;TZID=UTC:20250305T150000
DTSTAMP:20260903T045952
CREATED:20250207T080056Z
LAST-MODIFIED:20250303T173733Z
UID:1806-1741179600-1741186800@radcollaboratory.rutgers.edu
SUMMARY:Data Science Networking Event
DESCRIPTION:Join the RAD Collaboratory for a Networking Event focused on Data Science on Wednesday\, March 5\, 2025. \nClick here to register – please register by Friday\, February 28 at 5:00pm EST \n\nAgenda: Click here for a PDF of the meeting agenda. \n\nLightning talks from Rutgers researchers assembling and managing large data sets.\nBriefings on best practices\, cyberinfrastructure resources\, and training opportunities.\nBrainstorming on federal\, state\, and private funding mechanisms for RAD partnerships.\n\nRequest for Lightning Talks: For those who manage Rutgers data assets\, you are invited to submit a presentation title and summary to present a 5-minute Lightning Talk at the March 5 event when you register. Please apply by Monday\, February 24. Applicants will be notified by Friday\, February 28.  \nTime & Location: \n\nDate:  Wednesday\, March 5\, 2025\nTime: 1:00 pm – 3:00 pm (Light reception to follow)\nLocation: Room 120\, Institute for Quantitative Biomedicine (building labeled Proteomics).\n\n\n\nParking: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus.\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nRutgers Bus System: If you’re using the Rutgers bus system\, the Alison Road Classroom (ARC) Building/Science Buildings bus stop is a short walk to IQB. The C\, REXB\, B\, A\, H\, and BL bus routes all stop at ARC. \nQuestions: Contact Michelle Sanghera at msanghera@iqb.rutgers.edu
URL:https://radcollaboratory.rutgers.edu/event/ds-networking/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250218T093000
DTEND;TZID=UTC:20250218T110000
DTSTAMP:20260903T045952
CREATED:20250207T080029Z
LAST-MODIFIED:20250207T205632Z
UID:1813-1739871000-1739876400@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Introduction to Deep Learning
DESCRIPTION:The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials. \nInstructors: \n\nDr. Zhao Zhang\, Assistant Professor\, School of Engineering – ECE\nDr. Stephen K. Burley\, University Professor\, School of Arts and Sciences – C&CB\n\nDescription of Training Program:\nFour related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students\, PhD students\, postdoctoral fellows\, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures. \nTutorial Dates/Topics:\nI. February 18th – Introduction to Deep Learning\nII. March 18th – Introduction to PyTorch\nIII. April 15th – Distributed Neural Network Training\nIV. April 29th – Large Language Models and their Applications in Science and Engineering \nWe will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days. \nTutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday\, February 12\, 2025 at 11:59pm EST.
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-deep-learning/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250122T130000
DTEND;TZID=UTC:20250122T150000
DTSTAMP:20260903T045952
CREATED:20250121T080003Z
LAST-MODIFIED:20250123T220106Z
UID:1730-1737550800-1737558000@radcollaboratory.rutgers.edu
SUMMARY:RAD Collaboratory Inaugural Networking Event
DESCRIPTION:Please join us for the Inaugural Networking Event of the Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory on Wednesday\, January 22\, 2025. \nRegistration: Click here to register. \nDiscussion Topics: \n\nVision\, Mission\, and Structure of the RAD Collaboratory.\n\nSupport for development of multi-Principal Investigator AI/ML and Data Science research projects and federal grant applications. \n\n\nCall for applications for Postdoctoral Fellowships in AI/ML and Data Science. \n\n\nHands-On AI/ML Training Sessions: Scheduled for Feb 18th\, Mar 18th\, and Apr 8th. \n\n\nSupport for undergraduate researchers in AI/ML and Data Science. \n\n\nEvent programming for Spring Semester 2025. \n\n\nTime & Location: \n\nDate:  Wednesday\, January 22\nTime: 1:00 pm – 3:00 pm (Light reception to follow)\nLocation: Room 120\, Institute for Quantitative Biomedicine (Building labeled Proteomics)\n\nWe encourage all attendees to bring their laptops for the first portion of the event. \n\nParking Information: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus. Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty & Staff lots across all campuses.\n\n\n\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nQuestions: Contact Michelle Sanghera at msanghera@iqb.rutgers.edu
URL:https://radcollaboratory.rutgers.edu/event/inaugural-networking-event/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
END:VCALENDAR