21 computational-biology-physics-training Postdoctoral positions at Empa in Switzerland
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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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31 Oct 2025 Job Information Organisation/Company Empa Research Field Computer science » Programming Computer science » Other Engineering » Control engineering Researcher Profile Recognised
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by beam (e.g. laser light, electrons) and plasma induced processing. LAMP provides full cycle technology development, starting from novel materials, deep understanding of the background physics of beam
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. Empa is a research institution of the ETH Domain. Environmental noise from air and ground-borne traffic is an underestimated problem. In our research group, we develop new technical solutions to mitigate
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project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant material coatings. Your tasks You will work on basic science topics as well as on applied
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welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels
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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 Materials science and technology are our passion. With our cutting
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multidisciplinary team of physicists and chemists working at the forefront of quantum materials and surface science. Utilizing a combination of experimental and computational approaches, we develop and characterize
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. Key qualifications include: Proven ability to develop and apply complex in vitro or ex vivo test systems. Hands-on experience with microbial assays, biofilm models, and/or biomaterial characterization
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood