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Familiarity with performance modeling, analysis and optimization for heterogeneous architectures. Experience with developing code for: molecular dynamics, computational fluid dynamics, or quantum chemistry
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to establish a low-emission, end-to-end pathway for converting challenging scrap streams into high-performance aluminium alloys. CLEANMAT — About the Horizon Europe Project on Clean Aluminium Material Processing
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connectivity, web performance and accessibility, network measurement, mobile systems, and technologies for connecting underserved populations. We are seeking an outstanding researcher who already has a
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science, psychology, economics, political science, social research, engineering, and the humanities; High-performance computing, GPU-enabled workflows, large-scale data processing, research storage, and technical
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute
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interaction, electronic health record data, or large-scale biobank resources. Experience with high-performance computing, reproducible workflow development, scientific manuscript preparation, or collaborative
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population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems Demonstrated proficiency in R
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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analytics to accelerate vaccine discovery. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high