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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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We are seeking a talented and motivated Postdoctoral Research Associate (PDRA) to join the Energy and Power Research Group for a 12-month appointment to develop, implement and test a numerical model
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. The student will be integrated into the Mechanics of Materials Lab and will have the opportunity to interact on a daily basis with other PhD students and postdoctoral researchers working on similar topics
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project. Laser beam sources, process development and control to enable better control of mass transfer and laser-matter interactions. The “design-manufacture-inspect-model-test” approach of this project
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work is linking microscopic (discrete) mechanics to macroscopic (continuum) models of active slender systems. The project involves three main components: Theoretical continuum modelling. Extend classical
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its first two years of science operations. However, new modelling efforts are needed to fully interpret these datasets. In this PhD project, the researcher will use atmospheric modelling techniques
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preclinical mouse models and stool samples collected from patients with myeloma. In parallel, the project will explore how these changes impact immune cell populations and responses to infection. To do
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interdisciplinary training in plant genomics, bioinformatics, and statistical modelling, as well as practical skills in horticulture, experimental design, and data analysis. Working in the De Vega Lab at the Earlham
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technical models, equipment or techniques C13 Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career
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About the role We are seeking a talented Postdoctoral Researcher with expertise in healthcare AI to join the Modernising Medical Microbiology (MMM) Unit at the University of Oxford. This is an