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Physics or Engineering with a specialization in precision instrumentation. Workplace Workplace We offer This position offers a unique bridge between high-level academic research at ETH Zurich and the fast
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science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find
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. Profile Hardware Realization: Translate abstract architectural requirements into functional ViViD-AFM V2.0 mechatronic hardware. Precision Engineering: Design and implement sub-nanometer control systems and
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, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal qualifications include strong
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, Geoinformatics, Data Science, Forestry, Environmental Sciences, or a related field, from an internationally recognized university. Strong background in geoinformatics and remote sensing is required. Experience in
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), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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interdisciplinary research projects that require multiple data sources Work with high-performance computing platforms for data storage and analysis Profile Degree in Earth sciences, data science, computer science