193 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Helmholtz-Zentrum-Hereon" positions in Switzerland
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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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Structuring and follow-up of project ideas Execution and coordination pre-studies Preparation of industry and grant proposals Development of collaboration opportunities with other research groups Development
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and networking platform to support the development and application of Earth system, weather, and climate modeling, data infrastructure, and impact research. Project background There is an ever
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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manufacturing and operations to support development, integration, test, launch, and on-orbit commissioning Provide on-orbit or mission support, including anomaly resolution and telemetry evaluation
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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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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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not only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits , such as public transport season tickets and car sharing, a
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background Our group builds high-throughput experimental platforms that require the development of novel computational methods. Two example areas in which the candidate would contribute are described below. 1
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive