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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science and technology. The advertised position is based in the Computational Biology (CoBi) group led by Prof
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. Our offer You will be enrolled in the doctoral program in Mechanical Engineering at ETH Zürich under the supervision of Prof. Dr. Dennis Kochmann and Dr. Jakob Schwiedrzik. This fully-funded and full
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degree in physics, computer science, mathematics, computational neuroscience, or related fields. Extensive knowledge of dynamical systems theory. Excellent programming skills in Python. Previous experience
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product quality attributes, such as remaining shelf life. Process measured sensor data of commercial cold chains, analyze data for variability, and reformat data in databases. Use the simulation-based
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, and characteristics: A master’s degree in either chemistry, chemical engineering, computational science, materials science, physics, or related fields, or expectation of obtaining such a degree before
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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learning-based generative models and physics simulation) and data inference (including segmentation, classification, parameter inference and mesh fitting) based on data-driven and (bio)physics-informed
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tomography (APT) and high-resolution scanning TEM for atomic-level microstructure and chemical composition analysis. Computational Modeling: Micromagnetic and molecular dynamics (MD) simulations. Job
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/egalite . Desired profile: PhD in biomedical sciences, computer sciences, mathematics, physics or engineering Successful track-record of research achievements, original ideas and successful funding
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80%-100%, Zurich, fixed-term The chair of Artificial Intelligence in Mechanics and Manufacturing at ETH Zurich, led by Prof. Dr. Dirk Mohr, combines physically motivated models with advanced ML