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Field
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development of a user-friendly GUI tool that will enable stakeholders to interact with planning models and visualise simulation outputs. The RF will also support increasing coordination between different
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a highly motivated and interdisciplinary Research Fellow to
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, reinforcement learning, simulation, and counterfactual analysis. Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. Ontological engineering, knowledge
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to computational models. The group has a leading role in European within the fields of unconventional computing, our Comet initiative , and Computer Architecture, our CAL initiative . The position will be part of
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between ocean circulation and biogeochemical cycling in modulating marine ecosystem responses to global warming. The work will provide an opportunity to develop model simulations, contribute to both
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-economic study, design and analysis of integrated systems. Experience with energy system modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis
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model to be prepared by the fellow is available at the following link: https://ucppt-my.sharepoint.com/:w:/g/personal/ccabral_ucp_pt/ESnbf2LTfxFGj8NsKVEAe3IBi00sddFg238l4P7ziYmXTw?e=olqq3I The report
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modelling approaches. The position focuses on holistic catchment-scale studies and the development of scalable methods for monitoring the state, changes, and interactions of terrestrial and aquatic ecosystems
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the Karoo Basin (South Africa) and other exhumed systems and subsurface systems from the North Sea/NCS, to develop models of deep-marine lobe successions as fluid flow pathways and storage containers for CO2
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Model Development Support development and evaluation of learning-based control policies using reinforcement learning, imitation learning, and visuomotor learning approaches. Assist in model training