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engineering, computer science, data science, or a closely related discipline Have an excellent academic record Have strong analytical skills Be passionate about sustainability, energy, and public policy Be
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these subjects) is a must. Exprience with large-scale computations and data handling is required. Some bakground in nonlinear dynamical systems is also expected. The candidate must have excellent communication
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20%-30%, Zurich, fixed-term Our team at KOF, ETH Zurich is seeking a student assistant to support the project "Computing Resilience Indicators for Pharmaceutical Supply Chains." This project aims
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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interdisciplinary research projects in collaboration with a team of legal, economics, and computer science scholars. Workplace Workplace We offer We are an interdisciplinary research group at the intersection of law
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100%, Zurich, fixed-term The Chair of Infrastructure Management lead by Professor Dr. Bryan T. Adey in the Institute of Construction and Infrastructure Management (IBI) of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data...
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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for global society and future generations. A tailor-made program for your professional development. Participation in and shaping a dynamic research team with supportive colleagues, fostering collaboration and