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X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
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TZID:America/New_York
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TZOFFSETFROM:-0500
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TZNAME:EDT
DTSTART:20210314T070000
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DTSTART:20211107T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211202T130000
DTEND;TZID=America/New_York:20211202T160000
DTSTAMP:20260421T142521
CREATED:20211129T202732Z
LAST-MODIFIED:20211129T203815Z
UID:6133-1638450000-1638460800@oarc.rutgers.edu
SUMMARY:Workshop 5. Social Networks (graphs) - theory and examples of medical applications
DESCRIPTION:Branimir Ljubic presents the workshop/seminar: “Social Networks (graphs) – theory and examples of medical applications” within the series of workshops/seminars: “Clinical informatics\, Data science in medicine\, Advanced computing.” This workshop/seminar will cover Social Networks (graphs). \n\nRegister to attend the workshop:\n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/social-networks-workshop-5/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211209T130000
DTEND;TZID=America/New_York:20211209T170000
DTSTAMP:20260421T142521
CREATED:20211026T200606Z
LAST-MODIFIED:20211130T190741Z
UID:5927-1639054800-1639069200@oarc.rutgers.edu
SUMMARY:Enabling protein structure prediction with artificial intelligence at Rutgers and beyond
DESCRIPTION:Learning objectives\nThis Institute for Quantitative Biomedicine Crash Course will present a broad overview of how Artificial Intelligence/Machine Learning (AI/ML) methods are being used for de novo protein structure prediction and provide hands-on experience with both AlphaFold2 and RoseTTAFold. \nCASP14 revealed that AlphaFold2\, developed by Google DeepMind\, Inc.\, can predict three dimensional structures of small globular proteins with accuracies comparable to experimental methods. RoseTTAFold\, developed at the University of Washington/Howard Hughes Medical Institute\, approaches AlphaFold2 in terms of prediction accuracy while requiring fewer computational resources. \nIn this Crash Course\, expert speakers will provide a solid foundation on the role of AI/ML in structural biology and showcase ongoing research efforts at Rutgers. During the hands-on tutorial\, participants will learn how to utilize these new computational tools to compute structure models from amino acid sequences and download precomputed structure models from the AlphaFoldDB database. Local computing resources (Rutgers University Amarel Cluster) and access to Google Colab and the RoseTTAFold server will be made available during the hands-on session. \nCo-organizers: Balamurugan Desinghu\, Ph.D. and Stephen K. Burley\, M.D.\, D.Phil \nView schedule [PDF] \nRegister for event
URL:https://oarc.rutgers.edu/event/enabling-protein-structure-prediction-with-artificial-intelligence-at-rutgers-and-beyond/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211210T140000
DTEND;TZID=America/New_York:20211210T170000
DTSTAMP:20260421T142521
CREATED:20210813T041055Z
LAST-MODIFIED:20210813T191106Z
UID:5428-1639144800-1639155600@oarc.rutgers.edu
SUMMARY:Deep Learning with Python and Keras
DESCRIPTION:Register to attend the workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nAmarel account: Apply here as soon as possible. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN  to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. \nWorkshop content: This three hour workshop focuses on learning the basics of Deep Learning with Python and Keras including data preparation\, artificial neural networks (ANN)\, Convolutional Neural Networks (CNN)\, and Recurrent Neural Networks (RNN). \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.\n\nRegister to attend the workshop:\n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/deep-learning-with-python-and-keras-12-10-21/
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211221T080000
DTEND;TZID=America/New_York:20211222T190000
DTSTAMP:20260421T142521
CREATED:20210330T163611Z
LAST-MODIFIED:20210330T163617Z
UID:4668-1640073600-1640199600@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Anticipated monthly maintenance schedule March 2021 - January 2022: \nMAR 19-20-21 (3/20 & 3/21 Hill Data Center maintenance\, which will affect Amarel users)\nAPR 20-21\nMAY 18-19\nJUN 15-16\nJUL 20-21\nAUG 17-18\nSEP 21-22\nOCT 19-20\nNOV 16-17\nDEC 21-22\nJAN 18-19 \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-12-21-21/
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