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limitations in both measurement and modelling techniques. Current in-process measurement methods are restricted to surface-only monitoring devices (e.g., cameras and pyrometers), which fail to capture
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-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the
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comparison with analytical modeling and full-wave simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using inversely designed metasurfaces", which has been funded
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contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt/ Requirements Research FieldEngineering » OtherEducation LevelMaster
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supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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. The ideal candidate will have a strong background in modeling and simulation of atomic and molecular structures, along with extensive experience in analyzing the electronic and structural properties
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the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering at King’s College London. About the role We are looking to appoint a full-time (1.0 FTE) Research Associate to work
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-order modelling and high-fidelity simulations of turbulent reacting flows. You will have the opportunity of using cutting-edge facilities such as Imperial College HPC facilities. You will have access
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partners across the aerospace industry. BladeUp aims to transform wind turbine blade design and manufacturing using advanced modelling, machine learning and high-performance simulation, while Gradient Shells