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a hybrid interpretation framework. The goal is to establish robust, quantitative methods for well inflow monitoring and virtual flow metering (VFM) using DAS. The project will rely both on existing
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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methods are gaining traction in industrial aerodynamic simulation workflows, including those at Airbus and Dassault Aviation, because they offer significantly improved accuracy for unsteady flow problems
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highly desirable. Experience with mixed-methods research, including qualitative approaches, and with non-pharmacologic pain interventions is also a plus. Successful candidates will have track records
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conferences; • participation in national and international research projects; • collaboration within interdisciplinary research teams; • delivering teaching activities using active learning methods in
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Postdoctoral Research Associate position on the project: "Krylov subspace methods for non-symmetric PDE problems: a deeper understanding and faster convergence", https://gow.epsrc.ukri.org/NGBOViewGrant.aspx
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, 2026. Our expectations of the applicant At least a bachelor's degree in natural resources (e.g., forestry, biological sciences, or environmental sciences) IT skills and the ability to analyze numerical
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for a PhD candidate with a background in numerical analysis to contribute to the development of numerical methods for inverse problems in wave propagation. You will become a member of the Department
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, specifically in numerical hydrological modelling and hydrological field measurements. The successful candidate will work on competitive research projects and knowledge transfer contracts involving hydrology
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continuous, high-frequency water vapor isotope measurements (δ²H, δ¹⁸O) in combination with eddy-covariance ET fluxes, we will develop more robust, less assumption-dependent methods to partition ET