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., CAP, Soil Monitoring Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term
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establish and develop a centralized pool of space specialists. This resource pool will bolster ETH Zurich-led space projects, positioning ETH Zurich as a key player in both the national and international
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of machine learning, AI, and cancer genomics. Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in
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together to develop solutions for the global challenges of today and tomorrow.
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biocompatible nature, polysaccharides offer exciting opportunities for the development of next-generation functional materials. This PhD project combines materials science and microbiology to explore how
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100%, Zurich, fixed-term The Planetary Geochemistry group (Prof. Maria Schönbächler) investigates the pathways that led to the formation and evolution of planets in our solar system. The group is
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development.
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. The main research focus of our division is the relationship between physical activity and cognitive performance across development. Possible research topics within this position include, among others
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: Identify opportunities for outreach, visibility, and knowledge transfer; develop and implement the NCCR communication strategy Content Creation: Identification and promotion of scientific highlights and
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, and remodel mechanical signals, and how these processes govern fundamental biological functions such as homeostasis, growth, differentiation, migration, development, and apoptosis. Despite major