212 development-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at ETH Zurich
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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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relevant information from the papers. Our research group is dedicated to investigating human cognition and learning processes. We conduct theory-driven research about how people learn and how to develop
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possible longer term perspective at ETH. We specialise in the study of the interiors, atmospheres and evolution of terrestrial planetary bodies, both in our Solar System and beyond. The institute runs a wide
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that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions
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team. This position is offered on a fixed-term basis for one year. Job description Design and create digital assets: icons, SVGs, illustrations, logos Develop interactive widgets and visualizations
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the structure and function of plant pathogen genomes. We are looking for someone with prior experience in either fungal or transposon comparative genomics, who can explore the diversity and evolution of Starship
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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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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