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at ETH Zurich. Our mission is to accelerate chemical discovery using digital tools. We predict chemical reactivity and molecular properties using the tools of machine learning, computational chemistry, and
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and Risk Engineering Lab To address these points, you will have access to state-of-the-art computational capabilities, and you will be in contact with experts within ETH Zurich and worldwide. Your
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June - September 2024. This PhD position is supported by a Swiss National Science Foundation (SNSF) funded project EFFSIMMSI, led by Dr. Peidong Shi and collaborators at ETH Zurich and INGV. Project
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, led by Dr. Peidong Shi and collaborators at ETH Zurich and INGV. Project background Within the framework of the SNSF-funded project “EFFSIMMSI: Advancing Induced Earthquake Forecasting and Fracturing
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field, such as Chemistry, Physics, Engineering or similar Have an excellent track record and meet the general admission requirements for a doctorate at ETH Zurich Previous experience in solid-state NMR is
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specialists. Collaboration and knowledge exchange are encouraged Working environment and employment conditions: At ETH Zurich, people with different perspectives and in many varied roles study, do research and
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, engineering, or computer science You have a PhD in computational neuroscience, physics, data science, or mathematics You have the required social and leadership competencies that allow you to prosper at ETH
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Intelligence - SCAI Lab at ETH Zurich. Our team of clinical and research scientists is dedicated to improving healthcare systems using physiological and clinical information analysis for a closed-loop decision
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for a doctorate at ETH Zurich Previous experience in solid-state NMR is a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory
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computational neuroscience, physics, data science, or mathematics You have the required social and leadership competencies that allow you to prosper at ETH Zurich We offer LBB is an interdisciplinary and