83 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:" Fellowship positions in Canada
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their publication record and research statement. Preferred skills will include data science methods such as high performance computation, data management skills, and programming in R. Individuals also must be within
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, enabled through digital health technologies in Africa (Kenya, Uganda + more). The Trainee will be working on a program with over 15+ years (Smart Discharges Child, Smart Discharges Mom&Baby, Smart Triage
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can be found in the PSAC 901 Collective Agreement . Postdoctoral fellows may choose to participate in the Queen's Pension Plan in their third year of employment. The candidate's research should be in
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For 2026-27, SLMath will appoint 6-8 Postdoctoral Fellowships to each of the programs. Fellowship applications are reviewed by program organizers and the Broadening Participation Advisory Committee
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culture. Our current academic plan outlines each as core values and we work to embed them in all that we do. Toronto Metropolitan University welcomes those who have demonstrated a commitment to upholding
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comprehensive benefits plan, including extended health and dental coverage Applications will be reviewed on a rolling basis until the position is filled. Please send application materials to travis.dewolfe
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The fellowship program has an outstanding reputation for attracting the best and the brightest PhDs in the sciences and for training future leaders in Climate and Global Change Science. In FY25
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cross-national exchange and collaboration. The program is open to eligible individuals from the following countries: Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Singapore
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The L’Oréal USA For Women in Science fellowship program awards five women postdoctoral scientists annually with grants of $60,000 each for their contributions in Science, Technology, Engineering and
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, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data