323 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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French, Italian, and English proficiency to conduct and process interviews with study participants during the academic year 2026-2027 (primarily during the Autumn semester, though there may be some
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conferences Profile You meet the requirements for a doctoral program at ETH Zurich and have an excellent Master's or diploma in chemical engineering, process engineering, mechanical engineering, energy science
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to work on the new generation of prediction methods for the complex
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One PhD scholarship (for 1 year) within the Department of Ancient Civilizations at the University of Basel The PhD program of the Department of Ancient Civilizations at the University of Basel
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100%, Zurich, fixed-term The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and creative doctoral student who specializes in computer vision. The position can
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-to-real gap with learned residual physics (RA-L, 2024, Best Paper Award ), and we released SORS , a modular high-fidelity soft-robot simulator, at RoboSoft 2026. Underwater and aerial systems run through
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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and forearm (Nature, 2023 ). We close the sim-to-real gap with learned residual physics (RA-L, 2024, Best Paper Award ), and we released SORS , a modular high-fidelity soft-robot simulator, at RoboSoft
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Science and Engineering of ETH Zurich (located in Basel). We work at the interface of protein engineering, molecular biophysics, and synthetic biology, developing new experimental and computational
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for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly interpretable alternative in modelling to the black-box approach of neural