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visualization, multivariate statistics, time series analysis, predictive modeling and machine learning. Considerations: Exceptions to standard rates may apply to courses with unique credit hours, supervision
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. Expertise in quantitative MRI across 3T and/or 7T platforms, longitudinal modeling, or large-scale data analysis is highly desirable. A Ph.D. in biomedical sciences, computer science, physics, or a related
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changes, and service reconfigurations. It will also develop predictive indicators of unmet need and market risk, and produce a range of accessible resources (dashboards, short reports) for commissioners
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms Apply for this job See advertisement This is
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Initiative and support of Pell-eligible students. Utilize data analytics and predictive modeling to optimize scholarships, discount rate management, and net tuition revenue. Partner closely with Finance
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(100%) doctoral scholarship holder in the field of computer vision and modelling for biomedical applications Position You will work actively on the preparation and defence of a PhD thesis in the field
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an interdisciplinary research environment that includes additive manufacturing, advanced surface post-processing, dental prosthetics, process monitoring, data-driven modelling, and digital traceability. Additive
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Statistical and/or machine learning approaches to weather prediction Risk assessment and catastrophe modeling High-performance computing and large dataset manipulation The position involves close collaboration
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Quantitative & Computational Methods: • Machine learning and neural networks for phenotype prediction and biomarker development • Large-scale data analysis (UK Biobank and population cohorts) • Multi-omics
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); an epoch-making discovery based on observations that can build up the standard model or exceed its prediction; and so on. The successful candidate is also expected to explore the new possibilities