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, or related analyses. Proficiency in Python and/or R, with experience in high-dimensional data visualization and integration. Experience with cell culture, tissue processing, or organoid models is an asset
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Matlab, Python, or R programming experience. - A background in fMRI data analysis. - Excellent oral communication and interpersonal skills. - Ability to work effectively independently and in a team
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preparation, long read (PacBio, Nanopore) library preparation, RNA-seq, single cell RNA-seq, genome editing, etc.) Demonstrated basic computer programming skills (e.g. ability to use R, Python or other
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field. Demonstrated experience with single-cell and/or spatial transcriptomic analysis (Scanpy, Seurat, Squidpy, etc.). Strong programming proficiency in Python and R; experience with machine-learning
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, 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
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basic scripting in Image J, Matlab and Python - Excellent attention to detail and record keeping - Excellent time and project management skills Before applying, please note that to work at McGill
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis