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research, or regenerative medicine, ● Experience with cellular and molecular techniques, including cell culture, omics approaches, and imaging methods, ● Proficiency in data analysis, statistical methods
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Unit: Mathematics and Statistics Department Position Summary: Conduct experiments using finite Element Analysis. Collect data and analyze biomedical images. Conduct literature review on modelling
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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 5 hours ago
research programs at Canadian universities, with the goal to advance the Government of Canada’s science, technology and innovation priorities . The CERC recruitment process consists of two stages. Initially
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, biology, biomedical sciences, or a related field. Applicants should have a background in molecular and cellular biology techniques, stereotaxic surgery, imaging, microscopy, behavioural and statistical
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values recognize the varying costs of research within different disciplines. The University of Toronto requires that applicants must have earned a PhD degree in biochemistry, microbiology, molecular
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the major cause of permanent disability in multiple sclerosis (MS) and other neurological diseases. Using the latest in computer modeling, molecular and imaging technology, we have invented a series of
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William L. Hughes, the individual will lead the day-to-day operation of the lab. The anticipated start date of the Research Associate position is July 1, 2025, or upon a date to be mutually agreed upon
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for compliance with Institutional and Faculty Cybersecurity, Privacy, and Governance Policies, Standards, and Processes. The Associate Director is a key representative for VCHRI in AI and data analytics
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PyTorch, TensorFlow, and Scikit-learn. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health
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. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health, bio-signal processing, and wearable