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responsibilities. Job Description: Dr. Feifei Xiao's laboratory (https://directory.ufhealth.org/xiao-feifei ) at the University of Florida's Department of Biostatistics (https://biostat.ufl.edu/ ) is accepting
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professors and almost 50 senior researchers, as well as around 50 doctoral students. The AM division conducts broad research in applied mathematics, with an emphasis on numerical analysis for partial
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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exploit data and enhance predictive capabilities. Particular attention will be paid to numerical robustness, algorithm stability, and computational efficiency. Experimental work will complement
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numerical simulations using ANSYS Fluent or equivalent CFD software, including modelling of fluid flow, turbulence, radiation, heat and mass transfer, and chemical reactions occurring in biomass conversion
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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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successfully applied to numerous protocols in the literature, providing security proofs or revealing new attacks. However, these formal (or symbolic) models do not allow for the modeling of probabilistic
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. in Chemical Engineering or a closely related field. Deep knowledge of chemical kinetics, thermodynamics, and numerical simulation methods for reacting systems. Demonstrated expertise in scientific
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the development of numerical models. Metrics to quantify damage detection effectiveness, such as Probability of Detection (POD) and Model-Assisted POD (MAPOD), will be identified to develop a figure of merit