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engaged with scientific developments and peer communities. Profile A PhD in geosciences, natural or engineering sciences, data science, or a discipline pertinent to Earth observation. At least 8 years of
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research
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expertise to support space projects and space missions in both traditional and more modern setups and partnerships. Supporting activities involve both communication to researchers about opportunities by
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network. Preference will be given to candidates with strong communication and collaboration skills. Good knowledge of French (native or minimum B2, C1 ideal) or willingness to acquire it quickly. Further
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(IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation
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interdisciplinary expertise in bioethics, philosophy, social science, medicine, public health, data science, policy and law. We pursue high-level scholarship, participate in international research and policy networks
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onboarding new startups to the ETH AI Center – from first contact through to official affiliation.Develop a strong local network to grow the affiliated startup community and strengthen entrepreneurial
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collaboration with key national partners, including the State Secretariat for Migration (SEM), the State Secretariat for Economic Affairs (SECO), and a wide network of stakeholders across Switzerland. Job
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and early-stage manufacturing is highly desirable. Proactive, communicative, and comfortable navigating ambiguity in environments. We value humble ambition, intellectual curiosity, and a mindset
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, conceptualizing and bringing projects to life You have demonstrable experience with digital tools (e.g. Docker, networking, Unix, Windows) You’re proficient in at least one programming language (e.g. Python