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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in Sustainable Polymers The Complex Materials group at ETH
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sequencing, cell culture and microscopy. A dynamic and highly interdisciplinary team including wet-lab scientists, computer scientists, and clinicians. Cross-disciplinary collaborations and training
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, cell culture and microscopy. A dynamic and highly interdisciplinary team including wet-lab scientists, computer scientists, and clinicians. Cross-disciplinary collaborations and training opportunities
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varied responsibilities in a dynamic, nationally and internationally oriented research environment Access to state-of-the-art experimental and computational infrastructure Attractive employment conditions
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Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Electrochemical Sensing for Health Applications (SDC18
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory...
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Switzerland Application Deadline 4 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Switzerland Application Deadline 4 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical