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background in micrometeorology, soil physics, environmental instrumentation and use of programming languages like MATLAB and R. A valid driver’s license is preferred. Funding details The grant allows for a
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physics, environmental instrumentation and use of programming languages like MATLAB and R. Applicant would also be enthusiastic, with potential to be advanced to the PhD level. A valid driver’s license is
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 30 days ago
tutorials in MATLAB. Grade Assignments. Answer students' questions by e-mail and schedule office hours to answer students' questions. Qualifications: Registered Graduate Student at the Master’s or Doctoral
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Matlab programming (or similar programming experience) Statistical analysis (e.g. SPSS) Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 13 hours ago
framework. Experience with a common data science scripting language (Python, MATLAB, R). Python preferred. Assets Experience with data analysis tools, programming languages (e.g., Python, R), or database
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debug computing servers if necessary. Qualifying Skills : Strong programming skills in SQL, Java, Python, MATLAB. Experience with ML frameworks, including TensorFlow, Pytorch, Keras, Scikit-learn, and
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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
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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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peatland in BC respond to climate change; Other Qualifying Skills and/or Abilities: Basic experience with programming languages such as R, MATLAB or Python Experience with data visualization (e.g. making
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data analysis skills in: R and Python: development of automated workflows, statistical modeling, data visualization. MATLAB (preferred but not essential): particularly for legacy data handling