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regular arrays to probe novel quantum phenomena in strongly interacting quantum systems. The use of molecules is motivated by their rich internal structure, combined with the existence of controllable long
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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, including those appearing in string theory. 2. To uncover the universal algebraic structures of integrable models. 3. To construct new integrable instances of gauge/gravity duality. 4. To investigate
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in protein molecular structures, but the technical difficulties in their widespread identification has resulted in carbon dioxide-mediated carbamylation being all but forgotten as a PTM. For example
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particular emphasis on Mathematical and Complexity-theoretic aspects of Constraint Satisfaction Problems (CSPs). The research project is the EPSRC-funded “Promise Constraint Satisfaction Problems: Structure
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"Nano-structured RC networks – a pathway to artificial skin" project. The primary objective is to develop a comprehensive simulation framework that bridges microscopic semiconductor morphology with
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structure-property relationships. Manage, plan and prioritise own research within the agreed framework of the project, including planning several weeks in advance to meet deadlines. Work with other colleagues