19 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at Empa in Switzerland
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) Country Switzerland Application Deadline 20 May 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded
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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 Materials science and technology are our passion. With our cutting-edge
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Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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molecules in the gas phase. This interdisciplinary project is funded by Swiss National Science Foundation and the Swiss Agency for Innovation Promotion. It lies at the interface of fundamental research and
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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Collaboration with surgeons, engineers, chemists and fiber technologists Your profile PhD in polymer science or biomedical engineering Hands-on experience in hydrogel development, bacteria-materials interaction
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reports, (inter)national conference presentations, industry meetings, and digital media. Your profile PhD degree in chemistry, physics, materials science, engineering or related field. Experience in plasma
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and validate the equipment. Your profile PhD in Materials Science, Mechanical Engineering, or Experimental Physics Experience in determining mechanical properties at surfaces Experience in surface
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. Empa is a research institution of the ETH Domain. The Bacteria and Materials Interactions Group at the Biointerfaces Laboratory is offering a Postdoc position focused on the development of advanced
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Supervision of BSc and MSc students Your profile We are looking for a highly creative self-motivated team player You have a PhD degree in Materials Science or Chemistry combined with Machine Learning In depth