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their lifetime in the environment. This PhD project aims to examine the atmospheric aging and in-cloud scavenging processes of micro- and nano-sized plastic particles through laboratory studies. Your
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of this PhD project is to investigate lithium- and sodium-based solid-state batteries using muon-based bulk and interface characterization techniques. The main objective is to gain a mechanistic understanding
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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 position will be in the research group...
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. Empa is a research institution of the ETH Domain. The nanotech@surfaces Laboratory is offering a PhD position focused on integrating atomically precise graphene nanoribbons (GNRs) into van der Waals
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, writing manuscripts and presenting at scientific conferences Your profile Required qualifications include a PhD degree in computational biology or a related field. We are looking for a research-driven and
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Permanent Job Status Full-time 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 Offer
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19 Sep 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Computer science » Informatics Computer science » Other Engineering » Electrical engineering Engineering
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ferroelectric memory, photonic integrated circuits and next-generation telecommunications. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating in
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of competitive funding. Your profile We seek a highly motivated and dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has