37 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at UNIVERSITY OF HELSINKI
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/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical or computational modelling Ability to develop and pursue independent research questions Interest in
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We invite applications for a fully funded doctoral researcher working in the REINFORCE project at the Department of Computer Science, University of Helsinki. REINFORCE project (Automatic Detection
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international staff: https://www.helsinki.fi/en/about-us/careers/welcome International House Helsinki: https://ihhelsinki.fi Welcome to Helsinki: https://welcome.hel.fi/ A diverse and equitable study and work
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28 Feb 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Environmental science Geography Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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/fimm/training-fimm/fimm-embl-international-phd-programme Research training at FIMM: https://www.helsinki.fi/en/hilife-helsinki-institute-life-science/units/fimm/training-fimm Doctoral programmes
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from data. A start date before September 2026 is ideal but is flexible. The application deadline is February 5, 2026 (at 23:59 UTC +2). Requirements - A master's degree in computer science or a related
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collaborations with leading national and international experts. The position includes participation in field sampling campaigns at deep drill hole sites, as well as research visits and opportunities
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for your next career stage. Your profile Recent PhD in Cell Biology, Neuroscience, Biochemistry or a related discipline. A strong academic track record, and at least one recent first-author publication
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in the FIMM-EMBL International PhD Programme , starting in August 2026. In this interdisciplinary programme, outstanding doctoral researchers are recruited at the institute level in the scope
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on the ENERPOL home page https://cordis.europa.eu/project/id/101226229 Project description The successful applicants will join a multidisciplinary EU-funded Marie Skłodowska-Curie International PhD training