308 engineering-computation-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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reservoir engineers involved in the CCS pilot study Presenting and publishing your results in international conferences and peer-reviewed journals The project will be supervised by Dr. Cédric Schmelzbach, Dr
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National Center for Tuberculosis and Lung Disease in Georgia, who will validate the technology in patient samples and perform a small pilot study. This will provide the student with the opportunity to travel
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work experience Deep interest in space, technology, innovation and entrepreneurship Experience with organizing events (e.g. Hackathons, StartupWeekends, etc) Excellent written & spoken English
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. Sus.lab is part of the Group for Sustainability and Technology (SusTec) at ETH Zurich. As a “think-and-do-tank,” we work with industry, policymakers, and academia on topics such as carbon dioxide removal
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that act as autonomous micro-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine
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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Machining Processes and EDM at inspire offers in collaboration with the Chair of Artificial
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responsible for the Physical Sciences & Engineering domain. As her Scientific Collaborator, you will help enable the ERC’s mission to advance investigator-driven frontier research across all fields of research
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to design a decision workflow for assigning CO2 capture technologies