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that incorporate artificial intelligence and machine learning or climate change and human health are of particular interest. BWF believes that a diverse scientific workforce is essential to the process and
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Application Restrictions Open to both Internal and external Job Type Open Learning Faculty Member Posting In effect from 23/2/2026 Closing Application Date 9/3/2026 OLFM Type Regular Continuous
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sciences.Tackling key problems in biology will require scientists trained in areas such as chemistry, physics, applied mathematics, computer science, and engineering. Proposals that include deep or machine learning
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Austauschdienst (DAAD) Referat ST43 Kennedyallee 50 53175 Bonn Germany Helpdesk Please pay attention to the FAQ section of the DAAD website: https://www.daad.de/en/study-and-research-in-germany/scholarships
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and revise existing IMAGE machine‑learning components to optimize efficiency, scalability, and quality of results. Implement conversions of existing non‑LLM components to LLM‑based approaches where
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
, and teaching mode see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/ . Faculty/Division: University of Toronto Mississauga. Department/Subject Area: Communication, Culture
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 14 hours ago
; significant knowledge of guitar history and repertoire; computer literacy. Please apply online, with a copy of your curriculum vitae and a cover letter. Salary Range/Pay Rate Per CUPE Collective Agreement
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contributes to a positive and productive work and learning environment. Engages in continuous learning by participating in activities, training, and events related to Indigenous engagement, reconciliation
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mixed-methods research considered an asset. Experience in dealing with multiple commitments, short deadlines and sensitive clinical or research issues Intermediate or advanced computer skills in
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machine learning with single-cell genomics, spatial omics, and systems biology, supported by strong collaborations across UBC and internationally. Project Recent advances in single-cell and spatial omics