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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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). Additional project costs will also be provided. Overview Operator algebras is an active area of research with deep connections to other areas of mathematics such as topology, representation theory, and
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active area of research with deep connections to other areas of mathematics such as topology, representation theory, and topological dynamics. One of the most important classes of operator algebras are C
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properties of representative sediment classes. · Evaluate methods for predicting sediment type and physical properties from geophysical data using machine learning. · Assess the reliability
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properties of representative sediment classes. · Evaluate methods for predicting sediment type and physical properties from geophysical data using machine learning. · Assess the reliability
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learning) to combine datasets and preserve extremes. Uncertainty will be quantified explicitly, with outputs designed to inform both researchers and practitioners. The resulting dataset, open-access and user
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' model. The iterative model will explore vulnerabilities and feedback loops between hydrological processes, infrastructure, and social actors. 3. Embedded Learning: Placements with the Environment Agency