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research at the intersection of law, AI, and social science Are motivated to work with quantitative empirical methods and are willing to acquire skills in experimental and quantitative research Have an
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Armed Forces. The research contributes to the scientific foundation of monitoring and rapid altering systems for underground infrastructure. Project background Seismic and fiber-optic sensing technologies offer
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programming skills in Python Experience with machine learning systems or LLM-based architectures Experience working with complex data systems or developing applied AI prototypes Familiarity with modern AI tools
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80%-100%, Zurich, fixed-term We are looking for a Research Engineer to join ongoing and future research projects at the intersection of machine learning, and structural design (e.g. trusses, space
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benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right Working, teaching and research at ETH
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to assess ecosystem services Evaluation of plant phenotyping models, jointly with the other Work Packages of PhenoMix Statistical analyses, including machine learning approaches Presentation at national and
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journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen
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) Contribute to the strategic direction of research Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with
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applying machine learning to PNT (Positioning, Navigation, and Timing) and geomonitoring challenges, including signal characterization and anomaly detection. Project background We are looking for a highly
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(multi-view RGB imaging), drones, handheld and manual devices Contribute to the design and/or establishment of a phenotyping robot that can acquire data from RGB cameras and potentially other sensors