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100%, Zurich, fixed-term The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel . We develop novel algorithms and next-generation
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publications, present at seminar and workshops and engage with the institution teams. Profile Required qualifications and skills: Master degree in computer sciences, natural sciences, or equivalent with
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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100%, Zurich, fixed-term The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational tools for the molecular
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80%-100%, Zurich, fixed-term We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
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We are looking for highly motivated individuals with an outstanding academic background who are interested in pursuing a PhD in the research area of converter topologies and modulation strategies for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such...
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Applications are reviewed on a rolling basis until the position is filled. Only complete applications submitted via ETH Zurich’s online application system can be considered. Please prepare the following documents: Motivation letter (max. 2 pages) Curriculum Vitae (CV) Academic transcripts and...
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Group: Analytics & Informatics for Child Health (AICH) Starting date: As soon as possible or upon agreement Duration: 2 years, with possibility of extension The Analytics & Informatics for Child