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conferences.Requirements:- Passion about working at the intersection of mechanics and machine learning.- Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or
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are about to obtain, a PhD in the fields close to applied physics and engineering e.g. Physics, Electronics, Mechanics, Computer Science, Mathematics etc.. If you have not obtained your PhD yet the defense
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scientific and industry partners. You will support our PhD students, publish in scientific journals, and participate in conferences. Your tasks Design and implement digital twins for district energy systems
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hold a recent PhD degree, preferably in physics, system engineering, computer science, mathematics, or related disciplines. A strong background in computational science and good intuition for physical
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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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tightly collaborate with two other postdoctoral researchers, and will focus on (i) developing mathematical models (e.g., compartment models, network models, etc.) to explore the dynamics dominating opinion
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highly motivated and self-organized individual with a PhD or equivalent industry experience in the topic of Geoscience, Engineering, Mathematics, Physics, or a related technical field, with a proven track
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5 Jun 2024 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Environmental science » Other Mathematics » Statistics Physics » Computational physics