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Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI), a two-step networking program that offers participants the opportunity to interact face-to-face with leading researchers in Germany, with
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. The fellowship should also enable broadening of the fellow’s professional network. For these reasons, applicants are strongly encouraged to seek opportunities outside of their doctoral institution and their
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, 2027 The expected pay range for this position is $60,000 to $80,000 per annum. Job Description The UBC mHealth Lab, in partnership with the UBC AI and Health Network, is seeking a highly motivated
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the Analytics in Medical Sciences and to the Project Lead, Personalized Cancer Radiotherapy. We seek a highly-motivated scientist with the ability to define, direct, and complete a project and who Designs and
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excellent chance of receiving salary awards from the Canadian Institutes of Health Research (CIHR), Michael Smith Foundation for Health Research (MSFHR), or the Canadian Respiratory Research Network (CRRN
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 15 hours ago
other project resources. Experience with both qualitative and quantitative data collection. Experience using qualitative (e.g., NVivo or Dedoose) and quantitative analytic software (e.g., Stata or R
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body composition changes in people with GI cancers, with a particular focus on pancreatic cancer. This work is part of a broad program that is defining cachexia biomarkers and therapeutic targets
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on candidate’s desire concentrated on investigating genetics of Huntington disease, molecular mechanisms of Huntington disease pathogenesis and development of novel therapeutics. Using the wide network
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to diversification. Included Benefits: Postdoctoral researchers at McGill enjoy a comprehensive benefits package, see: https://www.mcgill.ca/gps/postdocs/fellows/healthcare Application Materials Required: Further Info
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desirable. Familiarity with explainable AI, causal inference, or biologically inspired neural networks, as well as experience collaborating with experimental laboratories, will be considered strong assets