147 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
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- Vrije Universiteit Amsterdam (VU); Amsterdam
- Wageningen University & Research; Wageningen
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5 Sep 2025 Job Information Organisation/Company Tilburg University Research Field Computer science » Programming Engineering » Simulation engineering Psychological sciences » Cognitive science
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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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(MPRR) Group at Technical University Delft has joined the National Growth Funding “Groeien met Groen Staal ” (GGS)” programme which aims at making the Dutch steel sector circular, CO2-neutral, and high
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. They are increasingly being operationalised to manage conflict globally because large military peace operations are no longer considered an option due to their cost, inability to resolve the conflict, and a deficit of
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. They are increasingly being operationalised to manage conflict globally because large military peace operations are no longer considered an option due to their cost, inability to resolve the conflict, and a deficit of
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(BSI), where you will work within the framework of the Learning, Education, & Development research programme. Within this programme, researchers conduct fundamental and applied research into individual
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who hold a recent PhD degree in chemistry or chemical engineering. The ideal candidate will thrive in a collaborative team environment and possess strong leadership skills to effectively guide a small
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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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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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological