842 computer-science-programming-languages-"Aarhus-University" positions in Netherlands
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? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda Research Institute
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Wageningen University & Research (WUR) is seeking a full professor (0.8
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-term plan for research, teaching, and group development that aligns with or complements the existing strengths of the Nutritional Biology group; you have experience in building and maintaining a broad
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- 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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programme. Candidates from outside the Netherlands may be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at Leiden University is a world-class
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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of Biodynamics and Biocomplexity (IBB) and the Institute of Environmental Biology (IEB). The department of Biology coordinates the teaching of the Bachelor’s programme in Biology, as well as Master’s programmes
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Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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of Electrical Engineering of the Eindhoven University of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently
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of Electrical Engineering of the Eindhoven University of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently