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Applicants must have a PhD or foreign equivalent degree in quantum information science, high-energy physics, nuclear physics or computer science, broadly defined, by the date of appointment. Instructions
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and automated catch registration
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2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number HE-ERC-2023-StG-101114955 Is the Job related to staff position within a Research Infrastructure
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instrumentation for the nanoscale analysis of catalytic and energy-related nanomaterials, supporting the development of high-performance materials for green hydrogen production and energy storage. • Perform
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quantum simulations for quantum computing using classical computers. We are also interested in quantum-classical hybrid systems for future high performance computing. 〈Keywords〉 Natural Science
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evolution, genomics, plant biology, microbiology, or a related field. Computer Skills High performance computing including experience with R, python, and/or general experience with command line coding and
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster
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Jupiter’s magnetosphere–ionosphere system are strongly preferred experience working with high-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with
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of stochastic programming problems used in power system operations under uncertainty in conjunction with classical high-performance computing. Interesting directions for this project include, but are not limited
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research. Our methodologies are equally varied, ranging from theory and computer simulations to experimental investigations. The theoretical subatomic physics group performs research on nuclear, elementary