1,081 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"BIP" PhD positions
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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information about jointly run scholarships programs, please also see our partners' websites. Information describing the number and value of scholarships awarded is indicative. Looking for more study options
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
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about jointly run scholarships programs, please also see our partners' websites. Information describing the number and value of scholarships awarded is indicative. Looking for more study options? Courses
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to research‑based teaching, employing innovative methods to enhance student learning. It oversees a graduate program in Population Studies. The center fosters an inspiring academic environment and strives
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scholarships programs, please also see our partners' websites. Information describing the number and value of scholarships awarded is indicative. Looking for more study options? Courses and career pathways
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smooth operations. Support outreach initiatives, recruitment events, and information sessions to enhance engagement. 4. Global Engagement & Onboarding Support Plan and coordinate ad-hoc initiatives
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cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions
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, geoinformatics, geoecology or related fields Programming skills (Julia, Python, MATLAB) and ability to work with time series and/or geospatial data Motivation to work at the interface of ML and environmental