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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 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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Luleå University of Technology is established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department of Physics, Indiana
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data relevant to computational models and simulations. Design and test a custom antenna to investigate HE–RF correlations. Where to apply E-mail michele.urbani@ingesco.com Requirements Research
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resource allocation Specific Requirements We are looking for highly motivated Ph.D. researchers with interests software, modelling, simulations, or algorithms. The applicant should hold a master's degree in
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough
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for students with BSc degree with reference number BI|2026/882 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a