MNTL Master Calendar
32 matches found
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Hear about how you can prepare for your career from working professionals. Today’s job market is very challenging. You need to to separate yourself from the crowd.
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Prelim Examination: Samith Thusara Samith Sirimanna, February 6, 2023 @ 10:00 AM, ECEB 5070, Exam Topic: Analysis, modelling and validation of magnet loss, loss reduction strategies and their influence on operational inductance in PMSM
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Nicole King, PhD Investigator, Howard Hughes Medical Institute; Department of Genetics, Genomics and Development; University of California, Berkeley "Intrinsic and extrinsic regulators of choanoflagellate cell physiology"
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Prelim Examination: Peixin Chang, February 7, 2023 @ 3:00 PM, Zoom, Exam Topic: Towards Self-improvable Voice-controlled Robots
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Jian Ma, PhD Ray and Stephanie Lane Professor of Computational Biology, School of Computer Science; Carnegie Mellon University "Machine learning for spatial genomics"
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Jennifer Kuzma, PhD Goodnight-NC GSK Foundation Distinguished Professor, School of Public and International Affairs; Co-Director, Genetic Engineering & Society Center; North Carolina State University "The Macro-Dynamics of the History of U.S. Oversight for Biotechnology in Agriculture and the Environment : What have we learned?"
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Final Examination: Hassan Dbouk, February 24, 2023 @ 9:00 AM, CSL 301, Exam Topic: Robust and Efficient Neural Networks: Algorithms, Architectures, and Circuits
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The Spatial Omics Initiative / CAIM monthly working group brings together researchers from different disciplines to enable breakthroughs in genomic biology by developing new ways to embed omics data in space, and to facilitate the matching of biological problems to quantitative methods.
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Prelim Examination: Jiaming Wang, March 24, 2023 @ 1:00 PM, https://illinois.zoom.us/j/81617325303?pwd=dUROV04yWTdoYllUOXVraldacnJhUT09, Exam Topic: Efficient Protocols for Molecular Communication
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The Center for Artificial Intelligence and Modeling (CAIM) monthly working group facilitates the matching of biological problems to quantitative methods, covering such topics as single-cell and spatial transcriptomics, biomolecular networks in space and time explored using single-cell biophysics, microbiome dynamics and methods for control, and cancer genomics.
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The Spatial Omics Initiative monthly working group brings together researchers from different disciplines to enable breakthroughs in genomic biology by developing new ways to embed omics data in space, jointly with CAIM.
