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Constrained experimental design Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability
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well as represent the PI when required in EU and other project meetings. The Person You will hold a doctorate (or be close to completion) in a relevant subject area. You will possess a combination of scientific and
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well as represent the PI when required in EU and other project meetings. The Person You will hold a doctorate (or be close to completion) in a relevant subject area. You will possess a combination of scientific and
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interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. The project combines human induced pluripotent stem cell (iPSC)- derived neuronal and
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* responds to antibiotics. Our lab focusses on biofilm formation and surface-based motility in *P. aeruginosa* and we employ a highly interdisciplinary approach that combines microscopy, microfluidics, cell
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Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical
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learning phase-picking models, combined with advanced phase association, probabilistic earthquake location, and relative relocation methods, to significantly enhance earthquake detection levels and location
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. You will focus on using electrochemical and Raman spectroscopic methods to understand and improve the reaction. This includes developing electrochemical testing protocol combined with rigorous
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Constrained experimental design Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability
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experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality