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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 11 days ago
) at the IT4Innovations, in the Material Design group of Dr. Dominik Legut within the Modeling of Nanotechnology Lab, is open to applicants for the SPIN DYNAMICAL CALCULATIONS of the topics of Czech Science Foundation’s
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: Alexandre José Malheiro Bernardino (ist13761) Organic Unit: Scientific Area of Systems, Decision and Control Scholarship Theme: Computational Auditory System Simulators and Machine Learning-based Optimisation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
inform observable macroscopic properties as part of the activities of the UNC Superfund Research Program (SRP) (https://sph.unc.edu/superfund-pages/srp/). This work involves running, developing, and
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funded through the Research Ireland Frontiers project "Nanoelectronic Quantum Simulators". The project will involve studying quantum circuits as a platform for analogue simulation of fundamental models
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computational modeling and simulation to evaluate how data center demand affects electric grid reliability, resilience, and operational flexibility under various growth and climate scenarios. • Life-Cycle and
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The »Grid-free Methods« department at the Fraunhofer Institute for Industrial Mathematics ITWM focuses on the modeling and efficient simulation of complex industrial problems for the design and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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financial markets and allows you to learn many aspects from fundamental research problems to concrete applications. More information about the research teams can be found from the centers’ web site: https
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independent and collaborative research within European and Nationally funded projects Design and implement modelling, simulation, or experimental studies related to energy systems Prepare scientific
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or to optimise model parameters in large-eddy simulations. 3. Predicting extreme events, such as sudden bursts or high-drag episodes, using assimilated flow fields and physics-informed forecasting models. 4