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or equivalent qualification and is expected to establish an internationally recognized research program in the field of physical inorganic chemistry. Research methodologies may include, but are not
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the data and AIXD results Carry out standard tasks of debugging and documentation of the AIXD toolbox Profile You are a developer with a BSc or MSc in Computer Science or related fields, with proven
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research assistant position in Development Economics. The starting date is the 1st of October for 6 months. This is a position to get some research experience between a Master’s degree and a PhD program. Job
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at ETH Zurich and associated with the ETH AI Center. We are an interdisciplinary group at the intersection of chemistry and computer science. Our mission is to accelerate chemical discovery using digital
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning with solid-state fermentation (SSF) using filamentous fungi to optimize nutrient profiles in food....
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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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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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. Our offer You will be enrolled in the doctoral program in Mechanical Engineering at ETH Zürich under the supervision of Prof. Dr. Dennis Kochmann and Dr. Jakob Schwiedrzik. This fully-funded and full
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health. We are looking for a proactive and skilled Software Engineer to join the newly forming research group Analytics and Informatics for Child Health (AICH) at the Department of Biomedical Engineering
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve