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and collaboration in low-and-middle-income countries and good knowledge of R or other software for data management, analysis and visualization. The position does not require teaching, but it may be
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the combination of Time Spectral Method with Bloch analysis. Integration within the FairCFD Network Within the FairCFD network, you will contribute mainly to WP1, Efficient physics-based numerical methods, and WP2
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numerical analysis, computational fluid dynamics, and uncertainty quantification with diverse applications. Our group maintains active collaborations with other divisions at Linköping University and broader
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Sciences (AOS) invites applications for a position of Associate Researcher whose research will focus on space physics. The research includes the following activities: • Numerical modeling of the dynamic
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for co-authorships for a qualified candidate. A successful candidate must have advanced data analysis skills in R and Stata, experience with data visualization in R, and GIS data work in R and/or ArcGIS
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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Description PhD Student (f/m/d) EU MSCA-Doctorate Network COMBINE: Experimental analysis and simulation of flow-induced vibration in gas-liquid two-phase flow With cutting-edge research in
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"Phase-space-inspired numerical methods for high-frequency wave scattering: from semiclassical analysis through numerical analysis to implementation". The design of fast and reliable algorithms
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simulation. A significant part of the work will involve scientific programming, development of numerical methods, and in-depth physical analysis of flow phenomena. The ideal candidate is passionate about new
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for Postdoctoral Associate positions in the broad research areas of mathematical analysis and partial differential equations (PDEs). While all applicants with a background in the analysis of PDEs will be considered