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Technological University (NTU), Singapore. Project Focus: Research will focus on low-dimensional magnetic systems, with emphasis on spin/orbital current excitation, magnetization dynamics, and development
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to generate tools and techniques to simulate HIV infection dynamics using a multiscale agent-based modelling technique (cells, viruses, drugs, antibodies, human lymph system, seconds, days, years). This project
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dynamical systems, with applications ranging from plasma physics and molecular dynamics to advanced simulations for sustainable energy research. We are looking for a motivated and ambitious PhD candidate
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energy system models that incorporate a stronger Social Sciences and Humanities (SSH) perspective. By embedding societal dynamics, such models aim to capture a wider range of future uncertainties and
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/discovery; © dynamical systems and/ortime series data modeling. Preference will be given to applicants with prior experience applying these methods on scientific problems, whether biomedical or not. A strong
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application