15 big-data-and-machine-learning-phd Postdoctoral positions at McGill University in Canada
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of Physics Position Overview Development and production of large-scale, custom-designed digital signal processing readout systems for the ATLAS Liquid Argon Calorimeter Upgrade at CERN. Creating and
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 17 days ago
fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related
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are: Create favourable circumstances for the development of a field of research and a community of research on access to justice for OLMCs Produce scientific data for and with the access to justice stakeholders
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: Carry out oligonucleotide synthesis on solid supports (small and large scale, including high-throughput syntheses). Solution-phase synthesis of nucleosides and nucleotides and derivatives. Purification
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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning
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science, SECCM, and electrochemical instrumentations. Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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operation of the ATLAS experiment, at the CERN's Large Hadron Collider (LHC) in Switzerland. Our work focuses on building and maintaining advanced detectors and instrumentation to study the fundamental
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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, data collection, and statistical analysis. Assist in managing and maintaining research databases and methodological resources, ensuring accessibility for CTN+ investigators. Support the planning and