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researcher to join our multidisciplinary team, working at the intersection of AI and mechanical engineering. In this exciting role, you will contribute to the development of innovative AI-based surrogate
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100%, Zurich, fixed-term The Neural Control of Movement Lab at ETH Zurich (Department of Health Sciences and Technology) focuses on understanding how the brain controls behavior and on developing
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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of PhD and undergraduate students in the group. Profile You have a PhD degree in environmental sciences, environmental engineering, data science, or related fields, or expect to obtain such a degree in
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expected to collaborate closely with the research supervisor and the ODI team members, and assist in mentoring Master’s or Bachelor’s thesis projects. Profile We are seeking candidates with: A PhD degree in
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the integration of other storage or flexibility technologies. Experience with research on policymaking or innovation is not required, but an additional asset. You should hold or soon hold a PhD in engineering, have
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for the position: A PhD or Doctoral degree in Energy Economics, Mechanical Engineering, Electrical Engineering, Energy Systems, or a closely related field. Proven expertise in energy system modelling and the use
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methods and algorithms. Contribute to the development of a new lecture at ETH Zürich. Regularly publish in top-tier journals. Mentor and lead junior researchers, engineers, and students. Profile PhD from a
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community through the GitHub platform. Profile Applicants should have a PhD in Computer Science, HPC, Electrical Engineering, or in a similar field. They should: possess a demonstrated expertise in parallel
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to refine models for specific forest ecosystems. Publish research findings in high-impact scientific journals and present them at conferences. Profile PhD in Remote sensing, Geoinformatics, Data Science