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Field
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-scale electrode modelling and numerical upscaling techniques to the continuum scale will be applied. Finally, the aim is to develop a cell scale model using a macro-homogeneous description of the porous
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King's College London Department of Engineering | London, England | United Kingdom | about 1 month ago
arising from different vegetation fire types such as crown fires, shrub fires, and smouldering fires. A methodology to link lab-scale and field-scale fires. Numerical model of ignition with a database of
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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near-instantaneous proliferation of comb lines and new regimes of spectral control. Project background This project will combine advanced numerical modeling with laboratory demonstrations to explore
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of multi-petawatt laser technologies. The primary objective of the project is to exploit the theory and large-scale numerical simulations to design a laser-based optical system capable of efficiently
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extending the existing VL dataset. Design and evaluate DL models capable of classifying marine litter types using multispectral data, with a focus on achieving robustness to varying spectral channel
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other at policy-relevant scales, while ‘top-down’ estimates, based on atmospheric measurements and modelling, are hampered by large natural fluxes of CO2 between the terrestrial biosphere and the
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods
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to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical methods and data-driven modelling techniques, the PhD candidate