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combines machine learning, legal applications, and empirical evaluation in collaboration with judicial partners. The project offers a unique opportunity to work on real-world, high-stakes AI systems in
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) to ensure efficient roll-out of the system Profile MSc degree in Geophysics, Seismology, Earth Sciences, Physics, Engineering, or a related field Strong quantitative and analytical skills as
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charge of your own research You will take part in the professorship’s academic and social activities You will teach one course of your choice per semester (2 weekly hours) in the MAGPW or SiP programs
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material characterization with a corresponding scientific publication record Strong communication, organizational, and analytical skills Proficiency in written and spoken English; German skills are a plus We
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laboratory analysis, including generating isotopic or trace element data You have strong quantitative skills and comfort with coding, and good analytical thinking You are committed to working in
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willing to exchange with your fellow team members, support them, and learn from them. Non-traditional research topics, questions and methods are encouraged We also encourage projects on non-European
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qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and evaluate machine learning models, including unimodal, fusion, and
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24 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Biology Biological sciences » Other Chemistry » Analytical chemistry Chemistry » Biochemistry
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6 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry Chemistry » Inorganic
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related discipline Research experience in analytical geo- or cosmochemistry Experience with high precision isotope analyses of geological samples and clean laboratory environments Highly self-motivated