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applying coarse-grained simulation models Developing or using machine learning models to study sequences of disordered proteins The candidate should have a strong quantitative background. Our group and
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experimental data will be used to feed into numerical simulations using the Fire Dynamic Simulator (FDS) code, incorporating the kinetic models developed. The overall aim of the work is to gain a better
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models, hydrological catchment models and the Water Resources model for England and Wales (WREW), a national-scale, simulation model. You will quantify national and regional water supply-demand imbalances
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Networks Duration: 3 months Maximum Duration Including Renewals: 3 months Objectives To develop a model for the analysis of the bridging between critical communications with railway communications in 5G
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compositions of these materials with potential adsorption properties for simulants of toxic agents or catalytic properties of interest for degradation action, a molecular modeling approach based on density
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). Topics will include: micromachining/microfabrication techniques, micro sensing and actuation principles and design, MEMS modeling and simulation, and device characterization and packaging. Students will be
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simulation (Aspen Plus®); - Experimental experience in reaction systems and process intensification; - Ability to integrate modeling, experimental validation, and techno-economic analysis; - Experience in
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medical professionals in delivering improved care for people affected by prostate cancer (PCa) or kidney cancer (KC). This position will focus on modeling AI trustworthiness and explainability in medical
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Experience with simulation tools (e.g., COMSOL, FEM, MATLAB, or similar software) Knowledge of optimisation methods, data-driven modelling, or control strategies is advantageous Understanding
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-way theory-simulation loop will provide the nuclear data and modeling tools needed to interpret future cosmic-ray antinuclei searches