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Role: Postdoctoral Research Associate in Numerical Analysis Grade and Salary: Grade 7 - £37,694 - £47,389 FTE and working pattern: Full-time (35 hours per week), Fixed for 4 Months Rewards and
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relativity, The analytical and numerical study of the potential breakdown of effective field theory methods outside black holes, The analytical and numerical modeling of the dynamics of (and gravitational
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and with the 2AT team at Institut Pprime to develop a shape-optimisation tool based on resolvent analysis, applied to landing-gear aeroacoustics The researcher will develop a numerical methodology based
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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electromagnetismo. -Desarrollo de métodos numéricos para el diseño eficiente de dispositivos en electromagnetismo. Development of the following project tasks: - Implementation in C++ of numerical methods in
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 6 hours ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project
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mathematical analysis methods to ground proof numerical simulations Strong communication skills and ability to work across disciplinary boundaries. Desirable Experience with image-based modelling workflows (CT
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). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication skills and ability to work across disciplinary boundaries. Desirable
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appointment is for one year, renewable for a second year pending satisfactory performance and availability of funding. Research topics of interest include numerical methods for scientific machine learning and
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This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop ML methods for postprocessing numerical ensemble weather