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Liquid Argon Calorimeter system. Use novel high-level synthesis approaches developed internally (based on functional programming abstractions), to optimize the implementation of machine learning models and
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: - Participated in grant application writing and if the result deemed successful, may pursued for the patent application - Development of sustainable, safe, regulatory-compliant and high-performing next-generation
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: Responsibilities will include: Performing literature reviews to identify key gaps in current knowledge Supporting federal and provincial report research and writing activities Developing analytic plans and
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, method development activities, and overall laboratory organization to ensure high-quality, efficient, and compliant operations. Instrument Operation & Sample Processing Operate LC-MS/MS and GC-MS/MS
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Research Assistant 1 position is based in Prof. Jeremy Cooperstock’s research lab in the department of Electrical and Computer Engineering. Job Summary We are seeking a part-time Research Assistant to take
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for multi-institutional single-cell and spatial data generation. Access state-of-the-art equipment: 10x Xenium, Visium HD and Chromium X, PhenoCycler Fusion, NextSeq 2000 and high-performance computing
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· Demonstrated research experience in machine learning based image reconstruction or computational imaging · Hands-on experience working with scanning electron microscopy data or similar high-resolution scientific
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-top optical set-up. Design the experiments in discussion with the supervisor, analyze the results, and create high quality publishable figures, tables, with relevant discussions. Regularly report and
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monitoring. Analyze and interpret instrumentation performance in the field by troubleshooting power systems, communication networks, sensor drift, and data gaps. Conduct structured data retrieval from Campbell
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equipment: 10x Xenium, Visium HD and Chromium X, PhenoCycler Fusion, NextSeq 2000 and high-performance computing resources. Collaborate with internationally recognized leaders in computational neuro-oncology