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large‑scale global solar/stellar dynamo simulations capable of capturing both small‑scale and large‑scale dynamos in the same model with resolutions requiring at LUMI‑class resources. Perform model
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and FCT code. 2023.18225.ICDT and e DOI https://doi.org/10.54499/2023.18255.ICDT , funded by COMPETE 2030 by Portugal 2030, and by the European Union financial support from national funds/OE through
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combine ultrafast pump–push–probe experiments with sub-10 fs resolution, finite-element simulations, and quantum models extending the Tavis–Cummings Hamiltonian. The aim is to demonstrate coherent control
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experience in computational systems modeling, simulation, and analytics; OR Master’s degree in computational biology, systems biology, bioinformatics, biological engineering, biophysics, or related field plus
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characterisation, additive manufacturing, medical device simulation or design, material simulation, experimental design, analytical modelling, finite element modelling, design of experiments, material
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modeling, and scientific machine learning to enable efficient simulations of complex molecular processes across realistic time and length scales. https://doi.org/10.48550/arXiv.2604.24245 https://doi.org
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. The position will involve developing computational models and simulation tools, analyzing experimental and operational data, formulating and solving optimization problems, evaluating technical and economic
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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models and diffusion-based policies for navigation planning, trajectory generation and action prediction. Apply reinforcement learning and/or imitation learning methods to improve navigation performance
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design rules to understand their chemistry and physics. You will combine coarse-grained and atomistic simulations with surrogate models and experimental insights (with Dr. Baumgartner) to understand