178 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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qualifications include strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, as well as skills in dynamics & structural health monitoring, data analysis and
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dynamic, international, and supportive research group that values curiosity, rigor, and collaboration. ETH Zurich provides an outstanding scientific environment with access to high-performance computing
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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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100%, Zurich, fixed-term We invite applications for a PhD position in the field of quantum computing, to be advised by Dominik Hangleiter and co-advised by Renato Renner. In our group in Zurich
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is an advantage Familiarity with Linux-based computing environments; experience with high-performance computing (HPC) systems is an advantage Knowledge of reproducible research practices, including
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skills which could be relevant include rendering, computer science (with a specific focus on front-end interface development) Fluency in English is required for this position and German is a plus You
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between both groups are anticipated. Prior experience with genomic data analysis on a high-performance computing cluster, along with strong communication skills, is desirable. Profile Research interest in
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research project “Connecting physical engineering and digital design: Enabling high-performance timber plate structures through simplified connections and planning processes”. The project is a collaboration
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severe health condition, where patients typically suffer from unspecific symptoms like high fever. To support doctors in the decision how to treat the patient, we will develop a miniaturized system for
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condition, where patients typically suffer from unspecific symptoms like high fever. To support doctors in the decision how to treat the patient, we will develop a miniaturized system for rapid diagnosis