364 computational-physics "https:" "https:" "https:" "https:" "IFM" positions in Switzerland
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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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experts in the fields of clinical research, infection biology, engineering, chemistry, computation, and pharmacology. Biomedicine at the University of Basel, University Hospital Basel, and the Department
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communities, land managers, and fire professionals with knowledge and skills now before the threat becomes acute across the continent. FiRES aims to assist this process by learning from people’s embodied
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Curious? So are we. We look forward to receiving your online application with the following documents: CV full transcripts from undergraduate studies (both Bachelor and Master) a brief (1-page) motivation letter at least 2 names of referees (with email addresses and phone numbers) Please note...
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they are setting up or consolidating their own research team or programme. The MSCA (Marie Skłodowska-Curie Actions) enable cross-border mobility and thus support researchers at all stages of their careers. Swiss
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Network with 15 funded 3-year PhD positions in parallel. Your profile Master Degree in environmental/natural sciences or engineering, or similar. Experience with developing computational models Preferably
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Quantum Engineering (EQE) Group 100%, Zurich, fixed-term 12.02.2026 | AMO physics, Quantum optics, Quantum simulation, Quantum computation Technician / Engineer 80%-100
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10%-30%, Zurich, fixed-term ETH Zurich I Space boosts space activities to establish ETH Zurich as the leading university in space research, education and entrepreneurship within Europe and beyond. Space is a major economic growth area, and strengthening the Swiss space ecosystem has been defined...
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models