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-Machine Interaction Software Development AI Agents Physics-informed Machine Learning Diffusion Models Synthetic Data Digital Twins Application Domains We also value experience applying AI in fields such as
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics
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; quantitative data integration to fuse lineage-resolved 3D imaging with single-cell RNA sequencing (scRNA-seq) trajectories; agent-based and multiscale modelling using the Chaste computational platform to build
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to different incentive attributes such as insurance or material (reserved land) For potential future inhabitants, you will model the choices made by individuals, based on their wealth, when offered