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Location ESTEC, Noordwijk, Netherlands Our team and mission Gravity is a well-established observable, and has been integral to Earth observation from space since the beginning, as shown, for example, by the measurement of Earth’s oblateness in 1958. Measuring the gravity field reveals Earth’s...
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Postdoc Position in Animal Behaviour Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 11 March 2026 Apply now Join the lab of Dr. Jorg
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teaching and PhD supervision if you wish. Where to apply Website https://www.academictransfer.com/en/jobs/357811/postdoc-position-early-christia… Requirements Specific Requirements You hold a PhD degree in
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of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
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, but also to develop approaches to prevent damage. In the project we aim to develop a numerical model to predict root growth. Your task as a Postdoc researcher is to develop a measurement and monitoring
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Vacancies Postdoc position in Ultrasound Imaging and Microbubble Physics Key takeaways Interested in experimental ultrasound imaging, microfluidics, and fluid dynamics? Join our research program on
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position, please contact: Stefania Grecea, Associate Professor, Group Leader Functional Materials s.grecea@uva.nl Where to apply Website https://www.academictransfer.com/en/jobs/357842/2-postdoc-positions-in
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, musicology, mathematics, computer science, artificial intelligence and cognitive science. You will be part of the GOOD INTENSIONS research team. Work within the GOOD INTENSIONS project is highly collaborative
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, artificial intelligence and cognitive science. You will be part of the GOOD INTENSIONS research team. Work within the GOOD INTENSIONS project is highly collaborative and involves regular group meetings and
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motivated to advance trustworthy artificial intelligence in medical imaging? In this postdoctoral position, you will work on explainable AI and foundation models for CT imaging, combining methodological