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of the project (maximally 1 September 2027), based on your achievements. Naturally, we would be happy to discuss any questions or preferences you may have regarding the terms of employment. Wageningen University
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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate
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, thereby enhancing both time and cost efficiency in production pipelines. More details can be found using the following link: https://hollandhightech.nl/en/programmes-and-projects/projects/manufacturing
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, thereby enhancing both time and cost efficiency in production pipelines. More details can be found using the following link: https://hollandhightech.nl/en/programmes-and-projects/projects/manufacturing
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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this. Wageningen University & Research offers plenty of opportunities for growth and development, with a strong internal recruitment policy and excellent training programmes. You will work on the
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-master design program being part of the program Business Information Technology. For more information on the BIT EngD program, see https://www.utwente.nl/en/education/tgs/interested-in/engd/programmes
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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within the Chemical and Pharmaceutical Biology Department at the Groningen Research Institute of Pharmacy, Faculty of Science and Engineering, University of Groningen. The EU-funded (DELPHI) project aims