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100%, Zurich, fixed-term The Laboratory for High Power Electronic Systems (HPE) at the Department of Information Technology and Electrical Engineering of ETH Zurich conducts internationally leading
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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Fracture risk assessment today relies mainly on areal bone mineral density (DXA) which has limited discriminative power and lose accuracy over longer follow-up periods. Hip fractures carry
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laboratory work, good organizational skills and the ability to work independently. Applicants should enjoy learning new methods and working in a collaborative research environment. Enthusiasm for infection
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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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of materials, interfaces and manufacturing processes relevant to PV modules. Experience in material characterization and quantitative analysis of experimental data. Ability to independently define, plan and
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more than 23,200 reuse-market listings and transactions. We are looking for a developer with entrepreneurial ambition and the ability to grow into a founding role, to turn the existing research prototype
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Excellent communication skills in English, both written and spoken Ability to work independently while contributing effectively to an interdisciplinary team Previous experience with phages, hydrogels, wound
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Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a
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, organizational and interpersonal skills Curious, cooperative and independent personality Proactive approach to tasks Ability to work independently and as part of a team Willingness to travel, including to conflict