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, particularly in: MATLAB; Parallel and cloud computing; Graphical user interface (GUI) development Familiarity with: Statistical modeling techniques; Database management; Neuroimaging methods; Neurobiology
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functional MRI analysis, EEG analysis, brain anatomy and connectivity. Advanced in: bio math/stats: biophysical modeling; multivariate techniques such as PLS, MDS; machine learning, signal processing
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); Benoit Champagne ECSE 415: Introduction to Computer Vision; James J. Clark ECSE 416: Telecommunications Networks; Mark Coates ECSE 420: Parallel Computing; Dennis Giannacopoulos ECSE 421: Embedded Systems
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, multi-user software, and distributed or parallel computing is an asset. The ideal candidate should be well-versed with the fundamentals and state-of-the-art of EEG and MEG signal processing. Other
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 11 days ago
imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426 ). The RAP platform quickly collects high-contrast images in multi-well plates using
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address any issues. Upload and share processed data within the organization, facilitating access for team members and collaborators. 6. Advanced Bioinformatics for GWAS Execute parallelized code