155 computer-programmer-"Multiple"-"O.P"-"U" "NTNU Norwegian University of Science and Technology" PhD positions in Netherlands
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national ‘Gravitation programme’ relating to neuroimaging, is a member of the ERC Scientific Council and acts as a figurehead for Brains, Cognition and Behaviour, which is part of the Dutch National Research
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes. We
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be
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firm. Qualifications We’re looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of
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students are enrolled in a broad range of undergraduate external link and graduate external link programmes. The Faculty of Social and Behavioural Sciences has some 1,100 faculty and staff members, all
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areas in Lower Saxony, Germany, and Fryslân, Netherlands, and is developing a Strategic Conservation Plan for meadow bird habitats in Western Europe and West Africa, including habitat restoration plans
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plan for and retire across more than one country due to factors such as health, climate amenities, socio-economic status, cultural values, and proximity to family, among others. These rapidly evolving
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investigates retirement experiences across countries, with a focus on the connections to the welfare state, family care networks, and the retirement industry. Today’s older adults are more likely to plan for and