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the introduction of new tools for the analysis of such equations both from the theoretical and numerical point of views. This project will contribute to the development of such methods. This PhD project focuses
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-dependent source depletion. Reducing uncertainty in groundwater risk assessments through refined numerical methods. Applying the improved model to real-world groundwater contamination case studies. Career
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nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
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, environmental, energy, and material sciences. In this environment, we are a strongly mathematically oriented research group with a focus on the analysis of various problems in geophysics (in particular
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in an engineering or related subject with experience of mechanics, finite element methods and numerical analysis. Please state your entry requirements plus any necessary or desired background A first
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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, paediatric, adolescent, and young adult (AYA) brain tumour; the most common cause of cancer-related death in Australian children. Despite numerous therapeutic approaches pursued under clinical trial conditions
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, and/or in the development and management of effective partnerships and collaborations. Experience with numerical modelling or physical modelling, and analysis to provide solutions to a variety of topics
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networks by analyzing their dynamical systems and probabilistic asymptotic behavior, improving and generalizing diffusion-based generative AI using insights from numerical and stochastic analysis, and making
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. Background: Detecting deception is an important but challenging task for numerous organizations worldwide including in the UK (e.g., Probation Service, Police). Whilst there are different approaches, the most