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the goal to improve our understanding of the atmospheric cycling of the essential micronutrient selenium (Se) by integrating measurements and a computational atmospheric Se model. Knowing the chemical forms
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the opportunity to contribute to the group's teaching activities if so desired. The Postdoc position provides access to state-of-the-art computational power enabling impactful research. The position supports
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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the ETH Zurich employee benefits program chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages an inclusive culture. We promote
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ETH Zurich, Office for Faculty Affairs Position ID: 2253 -PROF2 [#26726] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Zurich, Zurich 8000, Switzerland [map ] Subject Area: Mathematics - Probability Theory Appl Deadline: 2025/09/15 11:59PM (posted 2025/07/04,...
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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
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100%, Zurich, fixed-term The research group of Prof. Müller, Laboratory of Energy Science and Engineering at ETH Zürich is looking for a highly motivated candidate with a strong expertise and interest in the development of heterogeneous catalysts and their in-depth characterization. Generally,...
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these subjects) is a must. Exprience with large-scale computations and data handling is required. Some bakground in nonlinear dynamical systems is also expected. The candidate must have excellent communication
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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills