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/ External / View Profile U of T Employee Sign In More Filter Options: Campus and Job Category Loading... Clear Create Alert Apply now » Sessional Lecturer - CSC367H1S - Parallel Programming Date
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results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic
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implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage
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from multiple one-to-many tables, following written specifications, and using SQL or an equivalent data tool. They also process data fields that run in parallel using loops and arrays. The work
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: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and
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active risk management / disruption prevention algorithms. Nonlinear trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows
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this position is the opportunity to collaborate with major U.S. and international fusion facilities (such as DIII-D, NSTX-U, KSTAR, WEST, and ITER) and contribute to LU-PCG’s research under the U.S
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must be able to obtain and maintain all access authorizations required for assigned duties under applicable U.S. export-control laws, institutional technology control plans, and U-M Standard DS-04
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counsel Master’s students in their exercises, work placement and Master’s dissertation. You will counsel doctoral students. You will participate in multiple parallel projects, including performing DFT