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Field
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input from a parallel international project (in collaboration with Prof. Joni Lakin, Dr. Jonathan Wai, Prof. David Uttal) and industry collaboration via the partnership with GL Assessment (Dr Berny
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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(R1) Country Switzerland Application Deadline 10 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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funded through the EU Research Framework Programme? Horizon Europe – COFUND Marie Curie Grant Agreement Number 101216811 Is the Job related to staff position within a Research Infrastructure? No Offer
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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Engineering, Applied Physics, Applied Mathematics, Computer Science/Engineering, Geomatics, or a related field. You have knowledge of distributed, parallel, and high-performance computing suitable for handling
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Deadline 4 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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degradation will be measured. In parallel, field-based measurements will be made of protein degradation pathways, and growth/protein synthesis proxies in wild fish at times of high and low sea temperature, in
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training