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100%, Singapore, fixed-term ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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complete by fall 2025) a PhD in engineering, have a strong technical background, and be proficient in programming. We welcome applications from researchers fresh out of their PhD or with up to one year of
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2025. Profile A PhD (or equivalent doctorate) in Business Administration, Management, or a related field (e.g., Psychology, Sociology, Engineering, or Economics). A strong publication record (or
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biomarkers that indicate the clinical traits associated with lactose malabsorption (LM) (Lactobreath profiles), serving as proof of concept for the future application of this technology in diagnosing food
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at international conferences and within collaborative networks Profile PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field Proven expertise in image analysis (e.g
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Applicants should have recently earned a PhD in Economics and should show interest in the topics of the group. The preferred candidate has demonstrated her or his potential to conduct high-quality research
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for the position are expected to have a PhD in Chemistry, Material Science or Chemical Engineering. Experience in the fields of material synthesis as well as the physical and electrochemical characterization
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decline at a large scale, linking these metrics with forest composition. This role involves employing data fusion methods, integrating forest structural characteristics, climatic, and topographic variables
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apply for third party funding. Contributions to teaching within the Engineering Geology group are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering