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controlling atmospheric composition, the detailed processes controlling this exchange are not well understood and highly parameterized in models. Long-term eddy flux observations, which are very limited world
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100%, Zurich, fixed-term The Laboratory of Energy Science and Engineering (LESE) headed by Prof. Müller (ETH Zürich, Department of Mechanical and Process Engineering) is looking for a highly
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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responsibility for the entire course evaluation process – from timely initiation to discussing individual feedback reports with lecturers Actively participate in the department's teaching commission, ensuring
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who can bring direct value to affiliated startups. Actively scout and screen entrepreneurial talent, ensuring alignment with our community’s standards and needs. Manage the operational process of
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processes in the laboratory. Current focal areas of the group include the evolution and control of antibiotic resistance, evolution and spread of plasmids, and viral diversification. Job description You will
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make it available to students Develop our offering Digitalization of our processes within SPH Extend and maintain our digital tools: Design and implement a dashboard to visualize the status of our
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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tools. We predict chemical reactivity and molecular properties using machine learning, artificial intelligence, computational chemistry, and cheminformatics. Our ultimate goal is the computer-aided design
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Lab, D-ITET, ETH Zürich PhD student in Human-Computer Interaction: Adaptive Systems in Mixed Reality (UI + LLMs) 100%, Zurich, fixed-term 20.08.2025 | Sensing