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is of advantage: Knowledge of parallel programming and HPC architectures, including accelerators (e.g., GPUs) Experience in modelling and simulation, ideally in the field of energy systems Experience
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, interdisciplinary environment with access to state-of-the-art Earth system models, high-performance computing facilities, and expertise in ocean modelling, carbon cycle science, and climate interventions. LOCEAN
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change and its linkage with climate change Develop and apply a machine learning emulation of dynamic global vegetation models to investigate land carbon fluxes Set up, run, and share simulations using
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₂, and magnetic Weyl semimetals). Work is computationally driven and focuses on linking quantum calculations to reduced, physics-aware spin models so that materials can be ranked and engineered for device
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learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
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of the forest radiative transfer modelling to simulate LiDAR signatures Lead publications in peer-reviewed journals This position is part of an international research project together with BOKU Wien and GFZ
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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. Completed “Questionnaire of the person applying for employment” available at: https://www.komag.eu/praca Copy of the diploma / certified copy of the diploma / resolution of the Discipline Council Description
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 1 day 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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for students with BSc degree with reference number BI|2026/880 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a