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for molecular discovery and chemical property prediction. For informal enquiries, please contact Dr Martin-Martinez at francisco.martin-martinez@kcl.ac.uk. This is a full time post (35 hours per week), offered
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of the operating conditions and local environment conditions The proposed activity is part of the TOSCaNA project (Flame Spray Pyrolysis of metal-oxides: TOward Size and morphological Control of flame-synthesized
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and sophisticated planning capabilities by enabling an agent to learn a predictive model of its environment. However, the direct application of current MBRL methods to safety-critical domains, such as
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process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification
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Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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in the brain as well as the eye contribute. Since early risk prediction and timely intervention can mitigate vision loss, it is critical that we fully understand the underlying cause(s). This project
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process is limited by process condition variations, which often cause defects and quality variations in the printed parts. The inability to predict and control melting process condition variations leads
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by retinal damage alone. Instead it is likely that microstructural damage in the brain as well as the eye contribute. Since early risk prediction and timely intervention can mitigate vision loss, it is
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analytical models Physics-informed machine learning for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in
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sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal experiments group (You