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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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Physics, Chemistry, or a related field. Experience with catalyst simulations. Experience with XAS/EXAFS spectroscopy modeling and its relation to electronic structure theory. Experience with codes like VASP
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communications and system-level simulation models, with a focus on optical communications and autonomous smart satellite mission concepts. Key responsibilities include defining model requirements with SME partners
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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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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