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-benefits, and adoption potential of perennial plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Fellow will work with a diverse range of policy, program
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through the development of more effective diagnostic and therapeutic approaches. Qualifications and Experience · PhD in Bioinformatics, Computational Biology, Statistics, Genetics, Genomics, or a
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
of Computer Science and Arts & Social Sciences to meet the objectives of this fellowship program while engaging full-time in their own research. Qualifications/Requirements of Position Eligibility Requirements PhD
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The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, brings together the brightest minds who have completed a PhD in the natural
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of junior trainees (e.g. undergraduate, and graduate students involved with aspects of the project) Required Qualifications · PhD in molecular biology, translational research, genomics, bioinformatics
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graduate students involved with aspects of the project) Required Qualifications · PhD in molecular biology, translational research, genomics, bioinformatics, proteomics, cancer biology, reproductive
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, 2026 (Negotiable) Qualifications • A PhD in Statistics, Biostatistics, or a related field (completed by December 31, 2026). • A strong foundation in multivariate analysis and statistical computation
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biology Translational immunology Treg biology Excellent organization skills, along with an outstanding level of accuracy and attention to detail. Computer experience required (word processing, spreadsheet
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The HFSP fellowship program supports proposals for frontier, potentially transformative research in the life sciences. Applications for high-risk projects are particularly encouraged. The projects
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or