202 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs in Canada
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proposal for research support, investigators must first register with our online portal (https://nmss.fluxx.io ) and complete a pre-application. Staff will review the pre-application to determine whether the
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at professional conferences, and career development. Qualifications: BSc or MSc degree (Psychology, Neuroscience, Computer Sciences, Medical Physics, Biomedical Engineering, or related field) Other Qualifying
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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and learning environment for all our students, faculty, and staff. To learn about the Irving K. Barber Faculty of Science, go to https://science.ok.ubc.ca/ . For more information about UBC resources
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Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and interest in applying IKS
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Primary Purpose: The Jane and Ron Graham Centre for Scholarship of Teaching and Learning (SoTL) is seeking a highly motivated and collaborative Postdoctoral Fellow to join our dynamic team
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
begin following the closing date of the competition. Applications will be submitted through PeopleAdmin. For questions, please contact dfmadmin@dal.ca or visit http://family.medicine.dal.ca for more
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
https://dal.peopleadmin.ca/postings/20473
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mixed-methods research considered an asset. Experience in dealing with multiple commitments, short deadlines and sensitive clinical or research issues Intermediate or advanced computer skills in
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machine learning with single-cell genomics, spatial omics, and systems biology, supported by strong collaborations across UBC and internationally. Project Recent advances in single-cell and spatial omics