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Primary Purpose: The Agronomic Crop Imaging Lab (ACI Lab), University of Saskatchewan invites applications for a three-year postdoctoral fellowship (PDF) under its Research Grant Programs
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| Faculty of Medicine (Mark Gilbert) Posting End Date July 18, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Aug 31, 2026 The expected salary for this position
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racism; co-designing our methods and interventions; being person-centred; being accountable; building relationships; and being adaptable. The Postdoctoral Fellow position will be for a 2-year term, with
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. The expected salary range for the part-time position, at 0.75 FTE, is $52,500 to $56,250 ($70,000 to $75,000 per annum at 1.0 FTE). Postdoctoral Fellow, at the Stigma and Resilience among Vulnerable Youth Centre
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(Matthew Wiens) Posting End Date August 1, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date May 31, 2026 The expected pay range for this position is $4,166.67
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disruptions data and network analysis, the candidate should have a strong background in network modelling and coding. The selected candidate will also have excellent leadership ability/potential and strong
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underlying musculoskeletal decline with aging, and to develop innovative interventions to promote healthy aging and longevity. This position offers a unique opportunity to work in the intersection of basic and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 10 days 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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End Date July 6, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Jun 30, 2026 The expected salary range for this position is $70,000 to $80,000 per year
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position focuses on advancing the integration of gene regulatory network (GRN) simulations into multicellular and tissue-level systems using machine learning—particularly graph neural networks (GNNs) and