162 parallel-and-distributed-computing-phd-"Multiple" positions at ETH Zurich in Switzerland
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? No Offer Description The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable
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the full workflow. Help push technology forward within a rapidly evolving environment. Profile MSc or PhD in Computational Science, Computer Science, or a related field Experience in software development
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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. You have the main responsibility for 1-2 such case studies (one of them in Switzerland) and will be advising the scientists across the project on the computational modeling, which will be based
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multiple technology tracks. The initial appointment is planned to be fixed-term with the option to be converted to a permanent position. Job description Lead strategy execution in coordination with
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experience in developing software for scientific applications, data analysis, or real-time systems is desirable. Experience with parallel computing and optimization techniques for handling large datasets
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vision/language models is a plus, but not a requirement. Preferred candidates will know professional software development practices, such as Code Quality measures, distributed development workflows (e.g
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), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate
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of SIS (e.g., HPC systems engineers, data scientists, research software developers) and external collaborators. Profile a PhD or equivalent in Computational or Computer Science, Engineering, Physics, or a
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100%, Zurich, fixed-term We invite applications for a fully funded PhD position in the Zindel Lab (Department of Biology, ETH Zurich), in close collaboration with the Tibbitt Lab (Department