19 assistant-professor-computer-science-data-"https:"-"https:"-"https:" PhD positions in Canada
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 14 hours ago
, please contact the NRC Hiring team using the contact information below. The role Help bring research to life and drive your career forward with the NRC, Canada's leading research and technology
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
-
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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research team meetings and assist with project coordination, documentation, and preparation for data collection. Availability requirement: The successful candidate must be available to visit
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policies. About Dr. Fontaine and the RISE³ Lab: Dr. Guillaume Fontaine, PhD, RN, is an Assistant Professor of Implementation Science at the Ingram School of Nursing at McGill University and a Principal
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 1 month ago
the NRC Hiring team using the contact information below. The role Help bring research to life and drive your career forward with the NRC, Canada's leading research and technology organization. The Research
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Engineering combined with experience in research or technology development relevant to the position may also be considered. For information on certificates and diplomas issued abroad, please see Degree
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part of the RA Program, you must have received your PhD in Analytical Chemistry, Biomedical Engineering, Chemical Engineering, or related fields within the last five years or you expect to receive
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machine learning algorithms and techniques to materials science problems, including supervised and unsupervised learning, deep learning, and reinforcement learning; Experience with data preprocessing, model