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evidence-informed policymaking. Please consult www.dec.ethz.ch for an overview of ongoing research projects. Our team: We are an international team of highly dedicated economists and data scientists
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, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded
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with a high inclination for Earth Sciences. You will help the BedrettoLab team with: Data acquisition with borehole logging techniques and rock core scanning devices Data analyzing with standard software
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for deployment and test them To excel in this role as a ML-focused robotics engineer, you should possess: Pursuing a master’s degree in data science, computer science, robotics, electrical or software
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23.07.2025 | Facility Services Specialist in library and information sciences 80%-100%, Zurich, fixed-term 23.07.2025 | ETH-Bibliothek Postdoc in
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exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the IEG group can be found on our
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training, hardware and software maintenance, instrument operator service, advice on sample preparation, assay design data analysis, and data management. As a member of the SCF, you will perform flow
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including CV and a short motivation letter. Please apply exclusively via the online application portal. For further information, please contact Dr. Nina Stanczyk; nina.stanczyk@usys.ethz.ch (no applications
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including CV and a short motivation letter. Please apply exclusively via the online application portal. For further information, please contact Dr. Nina Stanczyk; nina.stanczyk@usys.ethz.ch (no applications
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computational models against experimental data in relevant engineering contexts Disseminating research findings through publications in leading peer-reviewed journals and presentations at international