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of important problems). Desired: Extensive experience in parallel programming with MPI, OpenMP, C/C++, Python; experience working with data management and I/O libraries; experience as PI or co-PI on research
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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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the programming and testing of a robotic fabrication facility to produce lung organoids with a large throughput. The robot needs to be programmed to grab and place multi-well plates, the pipetting of media in and
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, and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff
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from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs. We can
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grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital based affiliates as well as the city and county of Denver. Our work is value driven
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 22 days ago
program, or acceptable combination of equivalent experience - Minimum three years in a heterogeneous Windows, Mac OS, and Unix/Linux environment - Must have diverse application experience including, but not
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Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC5 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a
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Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer
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medical product review processes, analyze vast amounts of clinical trial data, and assess post-market surveillance data with greater precision. In parallel, AI is transforming drug discovery and development