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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
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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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, microfluidics, patient samples, microscopy, in vivo models, genome engineering, single-cell analysis, and computational and molecular biology to elucidate the inner workings cancer cells and adult stem cells. Job
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engineering, computer science, data science, or a closely related discipline Have an excellent academic record Have strong analytical skills Be passionate about sustainability, energy, and public policy Be
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degree in the fields of transportation, civil engineering, computer science, urban analytics, spatial planning, geography, geoinformation, psychology or an equivalent qualification. Experience with first
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, the university fosters innovation across disciplines - from the humanities and social sciences to natural and life sciences. As research becomes increasingly data-driven, the need for robust infrastructure and
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materials relevant to photonics, (opto)electronics, energy conversion and storage, catalysis, or quantum information science. Candidates are expected to pursue highly interdisciplinary research
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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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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have a master’s degree in atmospheric and/or climate sciences, geochemistry, environmental chemistry, physics, computational sciences or a closely related discipline with a strong interest in numerical