8 phd-computing-"https:" Postdoctoral positions in Canada

  • McGill University | Canada | about 2 hours ago

    the date on which their PhD was awarded, regardless of when they are hired.  Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows

  • McGill University | London Glen Cairn, Ontario | Canada | about 2 hours ago

    processed data as per laboratory guidelines Selection criteria Essential Hold a PhD in immunology or onco-immunology or a related field Good publication record and/or demonstrated scientific excellence

  • McGill University | Canada | about 3 hours ago

    ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including

  • Nature Careers | Central Toronto Roselawn, Ontario | Canada | 15 days ago

    computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant

  • McGill University | Canada | about 2 hours ago

    expertise/interest in Bayesian methods for addressing measurement error. Ideally PhD within the last 5 years. Advanced level experience with R, desired knowledge of Nimble, Overleaf. Excellent communication

  • McGill University | Old Montreal, Quebec | Canada | about 2 hours ago

    assistants in experimental or analytical workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial

  • McGill University | Canada | about 1 month ago

    ) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http

  • McGill University | Old Montreal, Quebec | Canada | 2 months ago

    workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis

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