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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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. 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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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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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
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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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. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a PhD student position on advanced assembly of bio-intelligent materials
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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 enzymatic triggered biocomposite assembly. Together
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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. Empa is a research institution of the ETH Domain. Our group focusses on the development of carbon-based (thermo)electric nanoscale devices and their application for quantum technologies and energy