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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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scientists, etc., on AI related software projects in their company and industry. The language of instruction is 100% English, but the native language of many of our participants is German. More information
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through the electronic application process. Each recommendation consists of two elements: A form to be filled out by the referee An additional letter with the referee’s comments Your referees
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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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processes and projects. Framework Conditions and Perspectives The professorship is endowed with an employment level of 80–100% and offers access to state-of-the-art infrastructure at the Berner Reha Zentrum
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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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forward to receiving your online application with the following documents: For any related questions, you can also come in person in the office HCI F231. In the evaluation process, two support letters from
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, managing the selection process, interacting with applicants, the evaluation committee and other stakeholders, organizing and running entrepreneurship workshops, bootcamps and other community events. 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