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proton transfer. For the Diffusion Processes Group we are looking for a PhD Student Your tasks You will prepare and characterize clay samples and oriented clay films using different methods (e.g. XRD
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to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces of life (biosignatures) – whether through remote sensing or direct on-site
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internationally in our research and study programs. The PhD candidate will join the newly established research group Sustainability and Behavior Change. The group combines methods and insights from different fields
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have on social relationships and user well-being among different populations. You have excellent knowledge of research methods and statistics and are interested in learning new methods and statistical
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function. Through application of these methods to clinically relevant biological material, we aim to mechanistically dissect the role of DNA damage in aging and disease. Job description A PhD position is
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modern econometric methods, including panel-data, time-series and causal-inference approaches. Potential dissertation projects may explore: how globalization and international policy competition shape
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concentration gradients during charge and discharge, the evolution of interphases, and degradation mechanisms including ageing, material dissolution (leaching), and transition-metal migration. Muon-based methods
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curious, careful, and motivated by experimental research. You enjoy working with complex geochemical systems and are excited by the challenge of developing new methods and datasets. An MSc degree in
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-tuning, or related optimization methods. Experience with cloud infrastructure, MLOps or LLMOps, containerization, or production deployment. Frontend and/or backend development skills. We offer ETH Zurich
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persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position