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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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Position Location: Palaiseau, Ile de France 91128, France [map ] Subject Areas: Physics / Electron Hydrodynamics , Condensed Matter Physics , Condensed Matter Physics; Condensed Matter Theory; Computational
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is on developing high-performance metallic materials that are resistant to burning or combustion in high-pressure, high-purity Oxygen environments. The target products include components for space
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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the industry partner involved in the project Contributing to grant deliverables, presentations, and reporting Write high quality scientific manuscripts Contribute to our education program Train BSc, MSc and PhD
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Stanford Departments and Centers: Woods Institute Postdoc Appointment Term: One-year appointment, full-time (100% FTE), with the possibility of renewal for a second year, contingent upon performance and
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tomography will also be developed. This work will be performed in the laboratory of Prof. Mark Anastasio. The successful candidate will have proficiency in high performance computing, experience with numerical
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detection methods Background in public outreach or science communication Familiarity with high-performance computing environments Proficiency in Danish and/or German Who we are The Department of Ecoscience is
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Mathematics and Statistics, Department of Mathematical Sciences, with focus on computational methods with provable performance for nonlinear systems. About us The Department of Mathematical Science provides a
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proteomics, cell culture, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high