207 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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chronic disease prevention. The PhD student will work in an interdisciplinary team spanning behavioural scientists, clinical psychologists, computer scientists, AI engineers, and health systems researchers
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-PSI Quantum Computing Hub and the advertised position will involve close collaboration with its trapped-ion team, which conducts related research on scalable trapped-ion quantum-information processing
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-prevention antibody/nanobody program from discovery toward the clinic (start immediately or by arrangement). Your path: from fellowship to founding Over the 12 months you will drive the antibody program toward
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100%, Zurich, fixed-term NEXUS Personalized Health is the technology platform for personalized health at ETH Zurich. Since 2015, NEXUS has enabled and accelerated biomedical research by providing
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position focuses on the development of experimental and causal methods for efficient and robust evaluation of new product, policy, and technology in modern operational context of organizations. The research
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100%, Zurich, fixed-term The AI Characters team at ETH Zurich’s Computer Graphics Laboratory is seeking a Research Engineer to take a central role in developing and maintaining our interactive AI
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Program surveys in Qualtrics create documentation such as questionnaires, codebooks and technical reports support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG
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conferences Profile You meet the requirements for a doctoral program at ETH Zurich and have an excellent Master's or diploma in chemical engineering, process engineering, mechanical engineering, energy science
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to work on the new generation of prediction methods for the complex
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. The GeoLab is focused on Earth observation and its applications. It uses satellite, airborne, ground-based and in-situ observations and applies AI-driven analysis methods and high-performance computing