83 electrical-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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value. Our current focus is one of the most consequential open questions in this space: how customer-facing AI should be designed when it speaks to real customers on behalf of a real firm. Generative
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to the technical and quantitative training of junior lab members. Candidate profile Applicants should have a PhD in biomedical engineering, electrical engineering, computer science, data science, computational
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full support in advancing the current project as well as in shaping and realizing your own scientific ideas within the lab's research activities. You will be encouraged and supported in producing high
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advancing the current project as well as in shaping and realizing your own scientific ideas within the lab's research activities. You will be encouraged and supported in producing high-impact results
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You maintain close communication with other key people managing NCCR Genesis operation at ETH Zürich. You are in charge of taking meeting minutes and monitor the implementation of decisions and tasks
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promising route toward sustainable chemical manufacturing powered by renewable electricity. However, controlling reaction pathways and product selectivity remains a fundamental challenge because
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current AI tools and practices. A solid understanding of large language models, in particular their reliability, security, and explainability characteristics. Familiarity with the technical and human
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Boundaries. However, the current process design paradigm is too slow, labor-intensive, and fragmented between disciplines. This project will investigate optimal pathways for creating a circular industry that
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others and provide support. Through your prior experiences, you have ideally already shown your understanding and skills in: Master’s degree in mechanical engineering, robotics, mechatronics, electrical
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biological functions. However, current methods to generate giant unilamellar vesicles (GUVs) face challenges such as size heterogeneity, inefficient membrane protein reconstitution, and limited