203 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at ETH Zurich
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We are looking for a PhD student with joint appointment in ETH’s (i) Food Systems Economics and Policy group (FSEP ), led by Prof. Eva-Marie Meemken, and (ii) Global Health Engineering group (GHE
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The ETH Phenomics Center at ETH Zurich has been established as a state-of-the art research & technology platform for laboratory animal sciences. The unit provides services to more than 40
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doctoral degree in mechanical, civil, aerospace, biomedical engineering, materials science, physics, or a related field. You have a strong background in computational solid mechanics and nonlinear continuum
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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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scientists and engineers. Project background Among other activities, ETH Zurich | Space is building the “Project Hub” that supports ETH-led missions and technology programs. One of the missions that is
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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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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy