37 engineering-image-processing-"Simons-Foundation"-"Simons-Foundation" Postdoctoral positions in Canada
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research and technology-development environment. Key responsibilities Preclinical research: Design, coordinate, and conduct small-animal studies to evaluate and validate the robotic, image-guided ultrasound
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, quantitative imaging, molecular mechanisms regulating cell migration and work independently and as part of team. Will develop protocols, quantitative image analysis pipelines, training and education materials
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, Quebec, Canada, H3G 0B1 where you will have access to a desktop computer, network and statistical and image analysis software. The postdoctoral appointment will not involve any clinical service to hospital
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information processing. The position is part of a pioneering, international, dual-lab initiative including UCalgary and the Raman Research Institute in India, creating a platform of collaboration and exchange
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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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in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences. The Burroughs Wellcome Fund launched the Career Awards at the Scientific Interface
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sessions, and public seminars for project stakeholders Education and Experience: The successful candidate must possess: PhD awarded in the past 5 years in a related field such as urban planning, engineering
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design, nucleic acid and protein assays, microscopy/imaging techniques, animal studies, mammalian cell culture Preferred (not required, but an asset) skills: bioinformatic data analysis, R programming
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McGill University | North Peel Regional Municipality Kleinburg, Ontario | Canada | about 1 month ago
PhD in Anthropology, Sociology, Philosophy, Science and Technology Studies (STS), Health Humanities, Social Studies of Medicine, Public Health, or a closely related discipline. The PhD must be completed
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advances in AI-based platforms for rare disease diagnosis, including systems that process free-text clinical descriptions, Human Phenotype Ontology (HPO) terms, and genetic testing results to produce ranked