97 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in Netherlands
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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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Model of Immersive Learning (CAMIL) by empirically examining how immersive VR supports learning processes across educational contexts. This position is part of a larger project funded by the Nationaal
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are looking for candidates who meet the following requirements A PhD degree in molecular biology or biochemistry. Familiarity with protein modeling tools and software solutions. Knowledge and skills in protein
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: sustainable management of forests and wildfire prevention; transition of citizens to sustainable energy systems; shift to inclusive climate-neutral mobility. This postdoc position will be dedicated to address
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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models, Taylor models, optimisation, and statistics. Scientifically, the candidate will, in particular: propose and perform research in the field of differentiable programming/intelligence, where
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truly an international place of knowledge. Within the Faculty of Science and Engineering (FSE), the Bernoulli Institute conducts research combining theoretical as well as practical aspects of three
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(8%) and end-of-year bonuses (8.3%), training and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside
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management and meteorology; develop data driven models of regional greenhouse gas balances for the fen meadow areas of the Netherlands under (emission reduction) management; use the model to simulate
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yourself in the following: A PhD in Law, Anthropology, Science and Technology Studies, or a closely related field; Proven experience in conducting empirical research, ideally in transnational