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to be employed for the degradation and mineralization of per- and polyfluoroalkyl substances (PFAS) in water streams. At KTH, the focus is on the design, fabrication, and optimization of cavitation
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, Applied Probability, Partial Differential Equations, Numerical Analysis, Scientific Computing, and Optimization. Candidates with portfolios that align with Saudi Arabia’s national priorities for research
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California Polytechnic State University | San Luis Obispo, California | United States | about 8 hours ago
at the upper-division and graduate level. All areas of expertise in applied mathematics will be considered, but areas of special interest include numerical analysis, computational methods, numerical optimization
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for screening combinatorial libraries from microsyntheses would be highly valuable for lead discovery optimization and should revitalize drug discovery programs. Thesis project: In this context, we propose
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halls, research laboratories, athletic facilities, and auxiliary spaces. The Maintenance Reliability and Quality Engineer, Lead tackles numerous and often undefined asset problems by gathering detailed
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applications for faculty positions in Mathematics. Faculty whose research lies in Mathematical Analysis (including Numerical Analysis), Algebra and Algebraic Geometry, Applied Mathematics (PDEs, Operations
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
process control requiring high-performance numerical tools for upstream optimization of the process PhD objectives: The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering
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funding generation, including: Design, synthesis, and optimization of polymer-based and hybrid sensor materials for environmental and biomedical applications Application of surface, structural, and
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to exert an effective therapeutic action in the human body, making the optimization of this property a major challenge in pharmaceutical engineering. The ability to modify the polymorphic form—and therefore
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learning architectures for scientific or high-performance computing applications. Background in software performance evaluation, profiling, and optimization on CPUs and GPUs. Knowledge of common numerical