395 computer-science-"https:"-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions in Switzerland
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are the MaP Doctoral School and ETH Sabbatical | CAS AMaP continuing education programme. To lead the executive office as the central coordination hub, MaP is currently hiring a new Executive Director
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numbers coincide with increasing workforce constraints. To do so, we are developing the AI for Science Instrumentation Gym, which is designed to bridge this gap by placing data-driven hypothesis generation
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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100%, Zurich, fixed-term The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study the design and analysis of human-AI systems. This position
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see this website for more information on the doctoral programme in our Department of Environmental Systems Sciences (USYS). This project specifically offers outstanding opportunities for collaborations
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that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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ecology, forest management, remote sensing, decision support, risk analysis, economics, and stakeholder-oriented approaches. We are strongly involved in teaching within the Department of Environmental
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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The Faculty of Psychology is one of seven faculties of the oldest university in Switzerland. With our core focus on Society & Choice and Health & Interventions, we are successful both nationally and internationally in our research and study programs. The Center of Digital Lives researches the...
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or