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organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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networks Publish results in peer-reviewed journals and present at scientific conferences Co-supervise MSc, BSc, and PhD students and contribute to teaching in the Forest and Landscape Management program
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, workshops, and events is also part of your responsibilities, as is serving as an interface between research and administration. Profile Completed university degree (PhD) in mathematics, computer
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interplay of science, technology and society using frameworks and methods from Science, Technology & Society (STS), history, philosophy, anthropology, critical theory, and the arts. We privilege interpretive
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prospect to obtain a PhD degree from ETH Zurich Multifaceted, applied work in a larger team with computer scientists and clinicians/microbiologists From bench to bedside: develop technology and methods
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, and be at the beginning of their research career. Principal qualifications include strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, as
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and innovations directly into practice. The Laboratory of Energy Science and Engineering (D-MAVT) is working actively on developing numerical and experimental tools to probe single- and multiphase
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development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in