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such as COMSOL Multiphysics and/or ANSYS Fluent to evaluate velocity distribution, pressure drop, mass transfer efficiency, and thermal dissipation. Develop and validate integrated multi-physics models
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both infectious and chronic disease, measuring the impact of interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming
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between multiscale flows involving ocean surface waves, submesoscale current, turbulence, and wind actions. The research aims to derive a highly accurate and efficient theoretical models by extending newly
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) Documented background in machine learning, mathematics, linear algebra, and statistics Fluent oral and written communication skills in English Desired qualifications: Experience with transformer models and
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validation) of the fluid mechanics of a sample probe washing process in an immunoassay analyser system. The analysis methods will include computational multiphase fluid dynamics modelling, in laminar and
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research environment and opportunities for career advancement, and has a strong publication record in mouse genetics, electrophysiology and molecular biology. We routinely employ mouse models of sickle cell
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This PhD project focuses on developing formal methods and knowledge representation techniques for the modelling and analysis of complex manufacturing and intralogistics systems, such as highly automated
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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collaboration will be positively evaluated, in particular if the candidate has shown an ability to combine experiments with theory/modeling. Good communication skills are a prerequisite. Required qualifications
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publication record in psycholinguistics, Nordic linguistics, corpus linguistics, sociolinguistics, or related fields Experience with R (data wrangling, visualization, statistical modelling) Experience with