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planning, and iterative delivery. Train and fine-tune models using Python frameworks (e.g., TensorFlow, PyTorch, JAX). Access and manage models through cloud ML pipelines, model registries, and experiment
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research. Must have working knowledge of Python and JavaScript, other coding languages a bonus. Some project management experience is preferred. Before applying, please note that to work at McGill University
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LLMs (e.g. Python); Strong written and oral communication skills. Having a good command of NLP methods will be an asset. Master’s degree in Mathematics, Statistics or Computer Science, or equivalent
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research. Must have working knowledge of Python and JavaScript, other coding languages a bonus. Some project management experience is preferred. Before applying, please note that to work at McGill University
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an undergraduate program in computer science, engineering, neuroscience, cognitive science, or related fields. Basic familiarity with Python or similar languages; ability to read code and understand debugging
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vacuum chambers - Machining metals and specialized ceramics with hand tools, lathe and mill - Programming in python - 1 years experience working in an ultrafast laser lab - 1 year experience in ultra-high
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software (e.g. Python) is an asset. Incumbent must be in Montreal, but this role can be done remotely. Before applying, please note that to work at McGill University, you must be both authorized to work in
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Science), COMP 550 (Natural Language Processing). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI
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& Analytics (R. Python), Biostatistics and epidemiological data analysis and Scientific writing in English Demonstrated expertise in vulnerability assessment, risk modeling and environmental health surveillance
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development methodologies. Strong programming skills and understanding of modern languages (Python, Perl). Knowledge of HTML5, CSS3, Bootstrap and W3C standards. Familiarity with academic research environments