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: Department of Biology Position Summary: Performs data cleaning, and organizes a database of Canadian plants and animals. Matches species names and taxonomies for Canadian species compared to the Pollock lab
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clinical research, leveraging cutting-edge approaches in molecular biology, bioinformatics, biomarkers, and regenerative medicine. We are looking for a highly motivated postdoctoral fellow to join our
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 23 hours ago
independent research projects aligned with the broader goals of the research program - Prepare knowledge translation outputs, such as academic manuscripts, reports, and conference presentations - Collaborate
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and damage to neurons, and 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
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. *** A Postdoctoral fellow is a full-time student currently enrolled in a Canadian University program. The individual must have recently been awarded (within 5 years) a PhD or equivalent. The Postdoctoral
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The successful candidate should have a PhD in cardiovascular physiology and/or spinal cord injury biology. They should have strong hands-on skills in performing, analyzing and interpreting common cardiovascular
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The successful candidate should have a PhD in cardiovascular physiology and/or spinal cord injury biology. They should have strong hands-on skills in performing, analyzing and interpreting common cardiovascular
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Research Support | Castellarin Research Group | Applied Biology Program | Faculty of Land and Food
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in molecular biology and bioinformatics, with a focus on infectious disease and cancer models. Candidates must have a PhD in Immunology, Molecular Biology, Microbiology, or Vaccine Research. The ideal
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set the research direction and computational approach to the data. Qualifications: - PhD in Biology, Bioinformatics, Computer Science, Statistics or a related quantitative field. - Experience working