184 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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80%-100%, Zurich, fixed-term We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role
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Topic A: Automation and Monitoring for an Internal Development Platform Abstract The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research
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needs to account for the interactions of molecules and materials with the process performance that occur at interfaces: e.g., adsorbent materials, heat exchanger surfaces, or membranes. The ProMote
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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analytical and quantitative skills in numerical analysis, programming, high-performance computing, as well as skills in dynamics & structural health monitoring, data analysis and modelling, and interest in
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deep learning workflows for tree species mapping. The position contributes to building a scalable system for forest monitoring by refining model performance and ensuring high quality geospatial data
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in physics (optics, condensed matter, or quantum electronics) Interest in nonlinear and topological photonics, laser dynamics, or frequency metrology Previous experience with lasers or nanofabrication
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in reputable conferences or journals Experience with network simulators such as OMNeT++ or ns-3 Experience with High Performance Computing (i.e., SLURM) Experience with Git Workplace Workplace We offer
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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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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