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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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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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 3 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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: Advancing policy and programmatic research on the science of pandemic prevention and health emergencies (not lab-based) Supporting the design and evaluation of real-time data systems and pandemic prevention
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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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) Postdoctoral Researchers are Research Fellows recognized by the Quebec government employed at McGill with a valid Doctoral degree (PhD or MD) for a maximum of 5 years after obtaining their Doctoral Degree
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motivated Neuroscience postdoctoral fellow. In addition to neuroscience research experience, having familiar with machine learning/AI/ big data processing will be an asset. A major part of this PDF
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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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emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and surveillance research
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chemical 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