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are: Analysis of PDEs in classical and non-classical fluid mechanics, dispersive PDEs, hyperbolic systems of conservation laws, pattern analysis, numerical linear algebra, numerical methods for PDEs and dynamical
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; further advanced your skills in numerical modelling and data analysis in python; enhanced your skills to communicate your scientific results to a wide audience including peers, media, and the general public
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Description The Center for Brain and Health (CBH) (https://brainandhealth.org/ ) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to work on the thermal catalysis and its
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. This requires the integration and analysis of large ionospheric and ground-based data sets, together with the development of sophisticated high-performance computing (HPC) strategies and simulation tools. In
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activity concerns the development, implementation, and analysis of continuous stochastic mesoscale models for the description of phase change processes, such as evaporation, condensation, and nucleation. In
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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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
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of Financial Studies, and the Journal of Financial and Quantitative Analysis, among others. The Department of Finance is a CFA Institute Affiliated University. Additional information about the department can be
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are desired. (1) theory/numerical calculations of continuum fields such as reaction-diffusion equations (2) molecular dynamics calculations (3) analysis of physical phenomena by machine learning * Assigned