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, analysis, and interpretation of computational and single-cell biology projects, ensuring high methodological standards, reproducibility, and robust analytical workflows. Responsibilities include: Leading
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have enabled unprecedented control over light-matter interactions, catalyzing breakthroughs in imaging, nonlinear optics, and photonic computing. We leverage these developments to advance the field
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15 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Materials engineering Engineering » Mechanical engineering Physics » Computational
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. Strong programming skills in Python and familiarity with a modern ML stack (e.g., PyTorch, hydra, zarr, dask) Experience in handling and processing large datasets or experience in high-performance
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executing computational projects. Prior experience with DFT-based electronic structure calculations or other computational quantum-mechanical many-body techniques. Programming skills in either Python, Fortran
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project aims to develop hydroborate-based all-solid-state batteries. A central objective is to achieve a deep, mechanistic understanding of the processes that govern electrochemical performance and cycling
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of quantum computing, to be advised by Dominik Hangleiter and co-advised by Renato Renner. In our group in Zurich
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of interferometric optical systems Perform straylight and ghost analysis to ensure compliance with high-contrast performance requirements Contribute to the development of beam combination and wavefront control
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output in high-level peer-reviewed scientific journals. Your profile You must hold a PhD in Physics, Chemistry, Material Science, Computational Science, or similar. A high level of motivation to work in
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links to the ETH AI Center and the Reliability and Risk Engineering Lab . Job description Collaborate with other researchers to develop high-fidelity emulators for large-scale, energy system optimization