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Research Assistant 2 position is based in Prof. Benoit Boulet’s research lab in the department of Electrical and Computer Engineering. Job Summary The Research Assistant 2 will support research activities in
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS
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). Prepare samples for SEM, including mounting, coating, and cleaning. Optimize imaging parameters and acquire high-quality images for diverse research applications. Ultramicrotomy & Sample Preparation Prepare
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 14 days ago
of the Research Supervisor, the Undergraduate Research Assistant will participate in a research project that designs and implements a computer-based task in which a physical control interface is used to manipulate
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, protective barrier around tumours, allowing advanced immunotherapies to reach and treat cancer. The Faculty of Pharmaceutical Sciences strives to enact this vision by supporting the optimization of drug
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Programme? Not funded by a EU programme Reference Number EU-59152 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Faculty of Pharmaceutical Sciences
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at designing customized and novel experimental methods, optimizing experimental procedures, and executing technically demanding protocols. The candidate is expected to be proficient in the following techniques
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established protocols and contribute to the design and optimization of new experimental protocols and workflows. In addition, the candidate will be responsible for the maintenance and servicing of critical
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. Michel Tremblay Lab - The Rosalind and Morris Goodman Cancer Institute Position Summary: Contract Period: May 1, 2026, to August 31, 2026 (4-months) Design, perform, and optimize cell-based, molecular
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline