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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
Description Two Postdoctoral Positions at The University of British Columbia Department: Mathematics (A) Postdoctoral research fellow in mathematical modelling and control theory in sustainable fisheries
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | 10 days ago
Pacific Institute for the Mathematical Sciences, PIMS Position ID: PIMS -SPPIMSPDF2 [#26634] Position Title: Position Type: Postdoctoral Position Location: British Columbia, Canada [map
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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legal and moral theory in both primary and secondary sources. Write research summaries and meet with supervisor to discuss. Reading knowledge of Arabic is a plus. Effectuer des recherches en théorie
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), o Selecting comprehensive qualitative analysis techniques (e.g., thematic analysis, framework analysis, grounded theory, qualitative description), o Organising and facilitating data collection (e.g
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account...
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position focuses on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and
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on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and reinforcement learning
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theory, organizational sociology, and education policy, the research aims to produce transformative scholarship and actionable tools for institutional change. Key Responsibilities: The successful candidate