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. Our teams combine expertise in nanomedicine, RNA biology, organoid models, and the tissue microenvironment to tackle biomedical challenges with translational potential. The postdoctoral position is part
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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and (PBPK) modeling to understand the biological underpinnings will be used. You will work on a highly multidisciplinary project that aims at the development of ‘fit for purpose’ immune therapy PET
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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 You will develop and validate advanced AI models that integrate medical
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applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques
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modeling (DEM, FEM, BEM). Your job You will work on the project “FastSlip”. In this position, you will develop and utilise scale-bridging techniques to model and investigate fault slip in induced seismicity
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abandoned gas fields that are potential storage sites. Robust screening procedures are necessary to select the most suitable reservoirs in terms of geology. Using advanced geological modelling and numerical
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October 2025 Apply now The Department of Earth Sciences is looking for a highly motivated postdoctoral candidate with a background in numerical modeling (DEM, FEM, BEM). Your job You will work on the
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Vacancies Postdoc Position: Multi-Modal AI for Early Detection of Liver Cancer Key takeaways You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and
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. Their European, American and native co-founders invented new models for fighting pandemics from below and stopping the diseases in their tracks. They continually strove to overcome the familiar barriers