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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | 3 months ago
Gambling harms are a major public health issue and are socioeconomically patterned, with people from more deprived backgrounds at higher risk of problem gambling. Decision-making models offer powerful tools
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Bioinformatics will be desirable. It will be highly desirable for the candidate to have experience working in a research lab. Knowledge of molecular and cellular biology techniques will be desirable. Previous
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February 2026 Details The zebrafish is a superb model system for study of the inner ear. Many key developmental events that form the vestibular apparatus—including epithelial folding, fusion and perforation
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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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weekly. The student will work on Evans-Allen and other current research projects in understanding fish pathogenesis at a molecular level and strategies to develop new enzymatic therapeutics for fish
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numerical simulations to reproduce and predict magnetically confined fusion plasma experiments 2.Development of transport models based on simulation data and their implementation into integrated transport
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Similar Jobs Logo About East Carolina University To be a national model for student success, public service and regional transformation, East Carolina University uses innovative learning strategies and
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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good knowledge base and some experience in various lab techniques to investigate glycosylation including, but not limited to, cell culture (cell lines and primary cell isolations), molecular biology
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to model development, experimentation, data processing, and performance evaluation as part of an active research environment. Responsibilities Implement and experiment with computer vision models using