784 assistant-professor-computer-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Norway
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multidisciplinary approach that combines expertise from computational sciences and chemistry to pharmacy and medicine. The convergence environment will include three PhD positions and one postdoc position
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to facilitate the targeted delivery of therapeutic molecules, leveraging a multidisciplinary approach that combines expertise from computational sciences and chemistry to pharmacy and medicine. The convergence
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16 Jan 2026 Job Information Organisation/Company University of Oslo Research Field History » Archaeology Chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree, or equivalent, in statistics, data science, computational science, actuarial science
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through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no/arcticmsca
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, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in particular handling of scientific collection
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promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine and the Master's programme in clinical nutrition. The Institute
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equivalent in Information Technology, Computer Science, Electrical/Electronic Engineering, Automation, Cybernetics, Physics, Mathematics, Statistics, Nautical Science, Maritime Technology, or a similar field
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become affiliated to the Pharmaco-Epidemiology and Drug Safety Research Group at the Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, which is led by professor
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Interaction (HCI). The position will collaborate closely with (1) the NTNU Shore Control Lab (SCL), a design and human factors research environment focusing on human-centered design of technology for safety