20 high-performance-computing-postdoc Postdoctoral positions at McGill University in Ireland-University-Ranking-2024
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential
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Postdoctoral Researcher who will focus on establishment and development of Al strategies for the study of various pathological entities with translational potential. The postdoc will collaborate with
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performance assessment. The fellow will work on integrating multimodal sensing, computer vision, and educational intelligence into immersive training workflows that can assess learner actions, provide objective
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McGill University | North Peel Regional Municipality Kleinburg, Ontario | Canada | about 1 month ago
of health and medicine This position is unionized, and the incumbent will hold dual status as both a student and a McGill employee, and as a member of the AMURE (Postdocs) bargaining unit. For interested
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, data scientists, bioinformaticians, and international consortium partners. Required qualifications The ideal candidate should have: A PhD in computational biology, bioinformatics, computer science, data
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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
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: Programming proficiency in at least R or Python (ideally both), plus comfortable use of Unix/Linux shell. Hands-on experience with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing
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transport properties. - Operation of new instrumentation and characterization tools. - Mentor and assist in the training of undergraduate and graduate students and contribute to laboratory training activities
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conditions. Optimize the MRTOF mass spectrometer for routine operation. Advance our spatially resolved laser ablation ion sources for mass calibration and spectroscopic applications Lead the Canadian Ba
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RAMQ and MED-ECHO linked datasets, to generate high-quality evidence that informs cancer care delivery and health policy. Develop innovative research questions, analytic strategies, and methodological