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sediments and/or numerical modeling is preferred. Candidates should have a publication record in hydrogeology and/or related fields. Knowledge of traditional groundwater/surface water instrumentation
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of Physics (Ref.: 532531). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and analytical field-theoretical approaches is desirable. Applicants who
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, advanced imaging techniques and numerical modelling. About the role A successful candidate will be working on the EPSRC funded project New perspectives in photocatalysis and near-surface chemistry: catalysis
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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the research team around Univ.-Prof. Dr. Philipp Grohs. Our ideal candidate has a strong interest in Applied Mathematics, possesses solid and profound background knowledge in Numerical Analysis, Approximation
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applications. We combine expertise in nanofabrication, photochemistry, laser science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role A successful candidate will be
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. The TQM Unit carries research in the broad area of condensed matter theory and statistical physics, making use of both numerical and analytic techniques. Postdocs in the Unit have the opportunity
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models for compressible hypersonic flows; implementing new models and numerical schemes into larger, existing hypersonic CFD codebases; performing verification & validation studies for the new models
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these nanocomposites, we are looking for a postdoc to further develop high performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core
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commercial risks to unlock these resources for broader markets. It will combine empirical field studies, numerical and analogue modelling and computational approaches to drive a step change in our ability