8 finite-element-analysis Postdoctoral research jobs at McGill University

  • McGill University | Canada | about 24 hours ago

    analysis of Surveillance based IPD data ” (ZIKV-IPD-MA-2S) research project. Start date: January 15, 2026 - End date: January 14, 2027 Salary: The annual salary is $70,000 CAD. Location: McGill College 2001

  • McGill University | Old Montreal, Quebec | Canada | about 24 hours ago

    therapeutic strategies to promote these beneficial immune states. Position Overview The Postdoctoral Fellow will lead multi-omic data generation, integration, and analysis to dissect immune–tumour interactions

  • McGill University | Canada | about 24 hours ago

    -country survey datasets for comparative analysis. Conceptualize and refine a theoretical framework integrating intersectionality and stigma processes. Develop and code a Bayesian meta-regression to pool and

  • McGill University | Canada | 24 days 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 | Canada | about 2 months ago

    link these to mechanical properties. To be done in partnership with Hydro-Québec.  The potdoc will develop both advanced computing and numerical analysis skills, as well as acquire new knowledge in

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

    generation, integration, and analysis to dissect immune–tumour interactions in pediatric gliomas. The successful candidate will work closely with clinical, experimental, and computational collaborators across

  • McGill University | Old Montreal, Quebec | Canada | about 1 month ago

    , such as a familiarity with data analysis software (e.g., Python, IDL, MATLAB, FORTRAN) Prototype algorithms, validate outputs, and document methods clearly Qualified and interested applications are invited

  • McGill University | Canada | about 2 months ago

    . Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA

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