133 parallel-and-distributed-computing-"Multiple" positions at ETH Zurich in Switzerland
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) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure
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Background in high-performance computing (HPC) or cloud environments Comfortable working in Linux/Unix environments Advantageous qualifications: Development of parallel applications Strong Python knowledge
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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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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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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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the fundamental physics of coherence in coupled frequency comb lasers. A major open challenge is how to combine multiple comb sources into a single coherent system, overcoming fabrication-induced detuning
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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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the international team of the Ultrafast Spectroscopy and Attosecond Science group. Gain access to a wide range of experimental and analytical facilities, including high-performance computing resources, and
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. Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers