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(UQ) for machine learning and its validation. Your areas of research will be chosen based on both your own expert judgement and insight into trends and developments and on team requirements to ensure
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented Postdoc/researcher (m/f/x). Job description We are looking for a motivated postdoctoral
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, you will join the regular international meetings of the consortium and co-organise a theme day during a summer school (scheduled in 2027) on the role of dike grassland management in water safety and
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towards a future-proof logistics system with a special focus on machine learning-based collaborative scheduling, resource sharing, and self-organisation. The EngD position corresponds to a 2-year post
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partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
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. This is an innovative nature-inclusive approach to develop future-proof, sustainable methods to produce healthier and higher quality seafood, and to improve seafood security, human health, and the
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-organise a theme day during a summer school (scheduled in 2027) on the role of dike grassland management in water safety and biodiversity. Lastly, you will co-design and teach an educational module on dike
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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fish detection technologies to support fish monitoring and more selective and sustainable flatfish fishing. This Postdoc project is supported by the Ministry of Agriculture, Fisheries, Food Safety and