205 web-development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at ETH Zurich
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atmospheric chemistry sub-group at ETH They will develop their own scientific and measurement portfolio They will be responsible for deploying, analyzing, and maintaining instrumentation as well as publishing
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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affect technology adoption, industrial development, policy design, and its socio-technical and political feedback effects. The project is embedded within ETH Zurich’s new Einstein School of Public Policy
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
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experimental and computational researchers on study design, data interpretation, and the development of reproducible computational workflows Support research data management, including data organisation, storage
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developing and maturing high-risk, high-reward avionics solutions. Job description As part of the specialized resource pool, you will provide avionics engineering expertise across multiple space research
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development of innovative acquisition and processing techniques to study the Earth’s shallow subsurface. Project background Switzerland has committed to achieving net-zero greenhouse gas emissions by 2050. CCS
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help