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of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Chair of Science, Technology, and Innovation Policy (STIP lab) at EPFL is offering a
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Bern and Zurich to develop multi-compartments OOC systems integrating blood and lymphatic vasculature with key mechanical cues of the lung microenvironment Characterization: Design chips based
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planetary boundaries by analyzing and evaluating novel materials and technologies from a circularity, life cycle impacts and safety perspective, and providing guidance for designing more sustainable materials
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experience in at least some of the following areas: (magneto-)optical spectroscopy at cryogenic conditions, exfoliation and stacking of two-dimensional materials, design and handling charge-tunable
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to design and execute a pilot CO₂ injection into a saline aquifer to test its behaviour and migration. This PhD project forms part of this study that aims to assess the feasibility, safety, and societal
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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of two-dimensional materials, design and handling charge-tunable semiconductor structures, exfoliation and stacking of two-dimensional materials and fabrication of vdW heterostructures, clean-room
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solution for through-thickness reinforcement of FRPs. Your tasks You will work in collaboration with a postdoctoral researcher/scientist mainly on: Design and manufacturing of SMA Z-pinned FRPs SMA
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progression-and where we can intervene. This research is supported by the ERC Starting Grant. Start date: Flexible, between 1 March and 1 September 2026. Your position Design, plan, and perform experiments