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researchers and managers on human resources matters affecting their laboratory or division's operations. They work closely with key stakeholders to develop, implement, and optimize HR programs and processes
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at the AC. Each lab is engaged in autonomous, AI-driven discovery to advance materials discovery and optimization for a wide range of materials systems and technologies including chemical reactions, drug
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for differences and diversity, and disagrees without personalizing issues. Utilizes strengths of team members to achieve optimal performance. Communicating for Results: Conducts discussions with and writes
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optimizing existing data structures, architecting end-to-end data solutions, cataloguing data assets, and implementing governance practices to ensure consistency, accessibility, and long-term value. Your
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or more high level programming language (R or python preferred). • Ability to troubleshoot and optimize bench-side experiments with high efficiency. Ability to resolve technical problems in an innovative
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 months ago
the weeks before the lab course: Culturing of cells and perform and optimize one lab experiment During lab course: Be present from 9 am until students are done with the lab work Supervise and teach students
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concerns. Shows respect for differences and diversity, and disagrees without personalizing issues. Utilizes strengths of team members to achieve optimal performance. Communication for Results - Conducts
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Campaigner. Implements A/B testing, monitors key performance indicators (KPIs), and optimizes email marketing performance. Leads the promotion of events, including open houses, webinars, and growth events
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including human factors, optimization, risk assessment, thermodynamics, biomechanics, robotics, microfluidics and sustainable energy. Our faculty are world leaders in their fields and bring a passion for
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA