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engineering, computer science, data science, or a closely related discipline Have an excellent academic record Have strong analytical skills Be passionate about sustainability, energy, and public policy Be
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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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100%, Basel, fixed-term The Khammash Lab at ETH Zurich is seeking a motivated and skilled technician to join our interdisciplinary team working at the interface of synthetic biology, control
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scientific and engineering computing, and explores commercial pathways for software innovations. If you are looking for a role that blends technical excellence, leadership, and business strategy, we would like
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for deployment and test them To excel in this role as a ML-focused robotics engineer, you should possess: Pursuing a master’s degree in data science, computer science, robotics, electrical or software
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specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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enthusiastic about technology, science, and their societal impact Self-organized, reliable, and proactive — someone who sees a problem and solves it Flexible and collaborative, with a hands-on mindset and strong
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information on the doctoral program in the Department of Environmental Systems Sciences (USYS), within which the Plant Ecology Group is located. This project specifically offers outstanding opportunities
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responsible, together with other members of the department, for teaching undergraduate (German or English) and graduate level courses (English) for students of mathematics, natural sciences, and engineering