123 parallel-and-distributed-computing-"U"-"Washington-University-in-St" positions at ETH Zurich
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(ColorfulAct)". ColorfulAct aims to establish the building blocks of physical intelligence parallel to nodes and connections to artifical intelligence. We will develop distributed and addressable robotic
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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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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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Engineering of ETH Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential
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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
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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100%, Zurich, fixed-term The Distributed Computing Group is a research group at ETH Zurich. We are interested in various research topics on new and upcoming areas off the beaten path. Our three
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multiphoton microscopy, you will explore the molecular and cellular mechanisms of foreign body reactions. In parallel, you will collaborate with engineers to design and test microgels with tunable surface
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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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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple