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, hierarchical and composable analysis and design is needed. The project will leverage tools from contract-based design theory to formalise such security and performance guarantees at multiple resolutions
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the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
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simulations for AI model validation. ✔ Artificial Intelligence (AI) & Deep Reinforcement Learning (DRL) for energy optimization ✔ Predictive Maintenance & Failure Analysis using Machine Learning and Physics
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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-specific alpha-synuclein A30P human mutation, we will employ electrophysiological techniques, RNA sequencing, proteomics, and histochemical analysis. The findings are expected to provide insights into early
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) or Direct Numerical Simulation will remain computationally prohibitive for at least several decades. Instead, porous media approximations provide a practical alternative by treating the pebble bed as an
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techniques. Lipidomic analysis will provide understanding of how the membrane environment surrounding nascent AQP chains changes during synthesis. Proteomic analysis will identify potential interactors with
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/or engineering, and a keen interest in deploying data analysis and artificial intelligence (AI) to solve real-world problems in the built environment. The project will advance the capabilities of Pulse
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invites applications from candidates with a robust foundation in data science, modelling, and/or engineering, and a keen interest in deploying data analysis and artificial intelligence (AI) to solve real
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tests of low-emissions concretes Numerical modelling (e.g. modal, FEM, or equivalent) of a concrete FOWT concept (e.g. VolturnUS) under cyclic wave, wind, and current loading for conditions found around