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in medical applications, this challenge is largely a materials challenge. Existing medical implants are dominated by rigid structures that often lack the adaptability and sophistication required
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experience in battery research and proficiency in Python programming is an advantage, but not a requirement. Our offer You will join a dynamic young international research group working in state-of-the-art
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, potential toxicity and ubiquitous abundance in the environment. Understanding and evaluating their emission pathways is essential to plan and implement effective measures to reduce emission of PFASs. In
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programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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use to enable precision medicine diagnostics for the patient and couple it with high-field MRI imaging to extend towards in-vivo applications. The project is interdisciplinary and the PhD student will
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. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a PhD student position on bio-based materials for advanced wound healing
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other exciting projects ranging from autonomous sputter deposition to the development of new ferroelectric materials for non-volatile memory applications. Your profile PhD degree in physics, materials
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data