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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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and arrest, building structures with topologically interlocked materials, revealing the processes governing the structural build-up of cement in additive manufacturing, determining the nano- and micro
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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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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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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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. Empa is a research institution of the ETH Domain. Your tasks Your tasks will focus on the design and operation of experiments to investigate the failure mechanisms in wooden structures. This will require
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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