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experimental data and collaborate closely with experimental researchers and ML researchers in adjacent teams. Use high-performance computing environments and develop efficient computational workflows
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modeling, including practical use of at least one advanced computational package (e.g., VASP, Quantum ESPRESSO, SIESTA, or equivalent). Experience working in high-performance computing (HPC) environments
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
, Applied Probability, Quantum Computing, and Digital Twins. The AMCS program ( https://amcs.kaust.edu.sa ) contributes to developing mathematical frameworks and methodologies to foster economic prosperity
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Computational Quantum Chemistry Scientific Computing Machine Learning/Deep Learning Structural Bioinformatics High Performance Computing Complex mathematical modeling and simulations Leadership
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numerical accuracy and stability. The position provides an opportunity to work at the intersection of computational mathematics, nonlinear dynamics, high-performance computing, and experimental photonics
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scientific computing, control theory, data science, data driven methods, discrete mathematics, discretization methods, graph algorithms, high-performance computing, integral equations and nonlocal models
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run on national high-performance computing resources (NAISS) and local clusters. The project has been judged patentable by the Swedish patent office and accepted into the Chalmers Ventures technology
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analytics and the use of AI is the booster for research productivity and new research services for VTT’s customers. In addition to applying AI methods for materials research, we work on High Performance
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Brown University School of Engineering | Providence, Rhode Island | United States | about 1 month ago
interests including, but not limited to: Quantum Materials & Devices: Design, synthesis, and multiscale modeling of materials for quantum computing, light-driven phenomena, advanced sensing, and
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structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support com-putational thinking and computational problem-solving across the Earth sciences at a large