11 electrical-machine-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in canada
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computer science, artificial intelligence, biomedical engineering, electrical engineering, software engineering, or a related field Strong background in AI and software development, particularly in computer vision
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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values and we work to embed them in all that we do. Toronto Metropolitan University welcomes
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applicants, you must include: 1) a cover letter that includes a description of current research, future plans for research, and interest in the position; 2) a curriculum vitae; 3) one sample of scholarly
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should hold a Ph.D. in Physics, Electrical Engineering, or a closely related field, with demonstrated expertise in experimental quantum science or engineering. A strong interest in interdisciplinary
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, clinicians, and trainees. Interested candidates should submit (upload in Workday): a letter of interest describing their research interests and relevant experience; a current curriculum vitae; the names and
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letter of interest describing their research interests and relevant experience; a current curriculum vitae; the names and contact information of two academic referees. Qualifications: Applicants should
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continues to provide support through a vast network of former and current grant recipients. Beginning with the 2023-2024 grant cycle, BWF and the Charles H. Revson Foundation are proud to announce a
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, or equivalent experience) in a relevant discipline A demonstrated interest in accessible and equitable AI A demonstrated ability in applying current AI development tools to address AI risks and opportunities