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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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aims to use observations of cloud droplets to improve and evaluate UK regional weather forecasts. You will lead the modelling component of the project whilst drawing on a range of in-situ, radar
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equations (SDEs) are widely used to model time-evolving phenomena in finance, biology, and social dynamics, the underlying data is often highly sensitive. This project tackles the intersection of complex
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, simulation or systems modelling, data science on health or healthcare, broader economics etc.. Essential Application & Interview Experience in use of data & evidence to populate parameterise a model e.g. by
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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urban data, forestry data, temporal and multivariate network modelling, and simulation of infection dynamics in Swedish city environments. The doctoral student will work on the design and implementation
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-the-loop (HIL) validation. The Research Staff will contribute to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based
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to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research
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Astrophysics, Space Physics, Aerospace Engineering, Applied Physics, or a closely related field. Previous experience with numerical modelling and simulation relevant to space systems of astrophysics and a
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Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke