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the Intelligent Automation Lab (IALab, MC503) focused on the development of a robust and trustworthy forecasting and optimization agent for engineering applications. The role is research‑intensive and involves
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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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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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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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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 7 days ago
the experimental control software. Participates in assembling and test elements of the training setup and reward delivery system. In collaboration with the research team, assist with troubleshooting and optimizing
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Assisting with formulation of lipid nanoparticles and optimization of lipid nanoparticles for in vitro and in vivo systems. Assisting with Physicochemical characterization of lipid nanoparticles LNPs using
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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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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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, focused on improving function while promoting optimal ability, mobility, activity, and participation. We respond to changing environments, contribute to high quality clinical care in local and global
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performance monitoring, calibration, and instrument benchmarking. Develop, optimize, and standardize experimental and imaging protocols, contributing to improved reproducibility and methodological rigor across