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- Radboud University Medical Center (Radboudumc); 10 Oct ’25 published
- Radboud University Medical Center (Radboudumc); today published
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Livable Urban Spaces” under the EU Driving Urban Transitions (DUT2024) program. The project is led by Eindhoven University of Technology (TU/e), has consortium partners from Austria, France, Switzerland
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Are you passionate about applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient
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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 Urban green is commonly accepted as a nature-based solution to increase
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uncertainties about viable business models and reward structures. Your job This postdoctoral position is part of ReGeNL , a large national inter- and transdisciplinary research programme aimed at accelerating
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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation
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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep
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Postdoc position in Ocean Nanoplastics Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 13 November 2025 Apply now The
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, biodiversity informatics, and coral reef conservation—linking natural history collections, cutting-edge research, and real-world environmental challenges. As a key member of the team, you will collaborate
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researchers and with members of the 3D Biology research programme at the Radboud university medical center. You will also collaborate closely with scientists at HUB Organoids who are running parallel programmes
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requirements: A PhD degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Solid knowledge of fluid mechanics, computational fluid dynamics (CFD), and optimization using