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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof
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broader research agenda focused on how digital infrastructure and computational tools can support (or hinder) progress toward effective, coordinated, and equitable biodiversity governance. Research topics
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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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international campus with world-class infrastructure, including high performance computing. EPFL covers a wide spectrum of science and engineering and offers a fertile environment for research and cooperation
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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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Successful candidates are expected to run a world-class research and teaching program that emphasizes industrial translation in the field of manufacturing. We seek outstanding scientists with
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open-source platform redefining how viral sequence data is shared and governed globally, powered by the modular, federated backend database software Loculus This is a computational position focused on
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collegial and inclusive workplace are essential. Applicants should hold a MSc degree in ecology, botany, biogeography, environmental science, computational biology or related fields. Very good written and
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work with rich datasets, advanced analytical tools, high-performance computing infrastructure, cutting-edge photonic sources, and modern industrial machinery. In this position, you will contribute
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, world-class research program in the field of sustainable engineering. We encourage applications from outstanding candidates with visible expertise in this broad field which ranges from sustainable