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We are hiring a postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed
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discipline - demonstrated expertise in cell culture, including primary cells and iPSC-derived models - experience with molecular biology techniques (e.g., cloning, PCR, Western blotting, ELISA, FACS
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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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. 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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Job description The Postdoc position is in the area of probability theory and statistical mechanics. The project is a NWO funded "open competition project" which deals with the study of
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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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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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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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of computer vision, machine learning, and behaviour & dialogue modelling. If you have questions about the position you wish to discuss before applying, please contact Esam Ghaleb: esam.ghaleb