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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month ago
. Qualifications: Masters degree in Computer Science. Proficient in Python programming, and deep learning packages like PyTorch and JAX. Prior research experience and publications. Before applying, please note that
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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candidate will have strong data analysis skills, attention to detail, and an ability to work independently. Qualifications: Experience with data collection and cleaning • Programming experience in Python
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degree of accuracy and attention to detail. It is preferred if the candidate has a university degree in a relevant discipline. Basic programming skills in MATLAB, Python or related language is valued.
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related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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, astrophysics, or a closely related field. Knowledge of Unix/Linux-based operating systems and the Python and/or C++ programming languages is required. Experience with particle/astroparticle physics detectors
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team. Skills: Expertise in varying disciplines, with strong proficiency in programming languages such as R, Python or Javascript is required. Experience in big data analytics and deep learning using time
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) Proficiency with tools such as Pix4D, QGIS/ArcGIS, and R or Python Strong writing skills and a track record of peer-reviewed publication Excellent oral and written communication skills in English Interest
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expertise with programming skills in VBA and Python Strong comprehension of Discrete Event Simulation, ideally using the Arena Software Familiarity with the iron ore industry, as well as a basic understanding