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integrates spatio-temporal analyses (including synthetic descriptions such as distribution envelopes, size structures, and joint species distribution modeling), trophic modeling, and machine learning
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for relevant separations such as CO₂/N₂ or CO₂/H₂. The thermodynamic study may be complemented by adsorption microcalorimetry measurements. Molecular modeling will be used to interpret experimental results
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, visit https://www.biocean5d.org/ . The applicants will work on close collaboration with Jose M. Montoya, from CNRS. - Developing analytical theory and/or simulation models on the relative importance
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highly skilled and motivated Postodoctoral Scientist with advanced expertise in isotope-enabled ecohydrological modeling. We are looking for an early career scientist who is passionate about unraveling the
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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
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modelling, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research
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computing. This particular position focuses on time-series analysis and forecasting using transformer based foundation models. About the Project Time-series prediction using transformer based models is
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat
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of New South Wales (UNSW) is seeking a Postdoctoral Fellow to contribute to cutting-edge research in computational acoustics, multiphysics simulation, and digital twin modelling. Working as part of
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Simulation” (Reference: PID2024-157499OB-C31). This project focuses on the development of advanced computational models and optimization techniques for improving the performance of cochlear implants. It