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for high-impact, multidisciplinary research. Position Description We invite applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft as a postdoc on the CHESS project to model, design
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of developing cutting-edge deep 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
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Join TU Delft as a postdoc on the CHESS project to model, design, and validate next-generation façade-integrated solar heat systems for gas-free high-rise buildings. Job description Delft University
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from advanced centrifuge tests with numerical simulations. We are looking for candidates with a PhD in geotechnical engineering and proven experience in numerical modeling of offshore foundation systems
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who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial transcriptomics, whole genome sequencing, proteomics, organoid modelling
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for plastics using mechanochemistry. You will enter a relatively unexplored field of chemistry together with an expanding team of 5 PhD candidates and an experienced postdoc. The core objective of this project
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the performance and durability of the new SCMs, ensuring their reliability for construction applications. The postdoc researcher will join the Building Materials Group which contains 25 PhDs, 3 postdocs, 2
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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