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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 20 hours ago
with and provide support to research staff involved in the project. Mentor graduate and undergraduate students. Qualifications/Requirements of Position Required qualifications: PhD in a health sciences
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Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Ellis,Naoko | Department of Chemical and Biological Engineering | Faculty of Applied Science Posting End Date
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Engineering | Faculty of Applied Science Compensation Range See details below. Posting End Date August 26, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date August 31
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow Department Ellis,Naoko | Department of Chemical and Biological Engineering | Faculty of Applied Science (Naoko
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Postdoctoral Fellow in Islet Biology University of Alberta Competition 2564 Department Faculty of Medicine & Dentistry - Pharmacology Dept Non-Budgeted Salary range Hours per week - Grade Closing
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
Position Details Position Information Position Title Postdoctoral Fellow - Epidemiology/Biostatastics Posting Number PTAP3046P Department/Unit Health & Human Performance Location Halifax, Nova
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requires a high level of judgment, scientific initiative, and technical skill in geospatial data processing, as well as the ability to manage multiple deadlines and prioritize tasks. The successful candidate
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Qualified candidates will have completed a PhD within 5 years in a relevant discipline such as population and public health, occupational health/epidemiology, occupational science, or any health science field
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data analytics, pharmacy or medical practice, healthcare technology, health systems research or other potential research partners is an asset. Familiarity and experience with grant funded projects and
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biology in the domain of cancer biology Proficiency in statistical/computational analysis of chemical and functional screen data to be self-sufficient in interpretation Experience with tumor model systems