110 parallel-and-distributed-computing-"Meta"-"Meta" positions at ETH Zurich in Switzerland
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predict environmental distributions of health-impacting trace elements to prevent health hazards, today and in the future. The position is offered in the framework of a recently funded SNSF project with
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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Dairy Biogas Project (MDBP), Switzerland aims to distribute 10,000 biogas digesters to smallholder dairy farmers, enabling them to convert cow manure into clean biogas for cooking and bio-fertilizer
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of computational and statistical genomics, and bioinformatics. Cattle are an interesting «model organism» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases
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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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the impact of alloying on the magnetic properties of Sm-Co magnets, using Fe-Cr as a test bed material. This project combines advanced experimental techniques with computational modeling, including: Advanced
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trait-associated sequence variation. We offer a PhD position at the interface of computational and statistical genomics, and bioinformatics. Project background Cattle are an interesting «model organism
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CDSS is currently seeking to appoint a Research Software Engineer with experience in scientific computing to strengthen our team of experts to support the ETH research community as
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maintenance requests, managing mail distribution, and controlling access to shared rooms, including key management. Your responsibilities will also include serving as a central point of contact
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be