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, high performance computing and deep learning. The candidate will work in a collaborative research and development environment focusing on designing, implementing, and applying robust and high performance
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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conditions, with emphasis on robust computational pipelines in high-performance and cloud environments. The candidate is expected to publish results in high-impact journals, contribute to student supervision
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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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(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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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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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