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The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data
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Department: Mechanical, Industrial and Mechatronics Engineering Position supervisor: Dr. Farrokh Janabi-Sharifi Contract length: 1 year Hours of work per week: 36.25 Position type: Postdoctoral
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application. Department: Plant Sciences Status: Term Employment Group: Postdoctoral Fellows - PSAC Full Time Equivalent (FTE): 1.0 Salary Information: The starting salary will be commensurate with education and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 11 hours ago
Position Details Position Information Position Title Postdoctoral Fellow Posting Number PTAP2919P Department/Unit Community Health & Epidemiology Location Halifax, Nova Scotia, Canada Job Summary
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rigorous work and health research with effective knowledge translation. The Partnership brings together policy-makers, researchers and data resources from national and international organizations to address
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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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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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about the School is available on the School of Nursing website at http://www.nursing.ubc.ca , and information on the employment environment in the Faculty of Applied Science is available at https
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synthesis efforts, in particular developing and updating evidence-based guidelines Coordinating stakeholder engagement activities (e.g., with healthcare providers, patients/public) Preparing regular data
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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