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Optimization, the Data Governance and Process Optimization Officer supports the development and execution of data governance and process optimization initiatives for University Advancement (UA). The role
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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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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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the design, development, budgeting, procurement, and implementation of energy and water conservation projects for SHHS and Athletics buildings across campus including controls optimization, mechanical and
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-programming of the approach to ensure it is optimized for a cloud computing environment, apply the technique over a number of broad scale forest management areas and then undertake a series of focus studies
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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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operating manuals, develop standard procedures, and collaborate closely with senior scientists to optimize experimental systems in a dynamic, mission-driven laboratory environment focused on next-generation
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 10 hours 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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patients with optimal profiles; Provide training to the collaborators; Manage a budget reserved for compensating patient partners for their participation in the research projects; Participate in SPOR
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processing prototypes. The successful candidate will create operating manuals, develop standard procedures, and collaborate closely with senior scientists to optimize experimental systems in a dynamic, mission