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Ruelle's thermodynamic description of Smale spaces using tools from harmonic analysis, and to promote breakthroughs that may have far-reaching consequences in various scientific disciplines. Work duties The
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treatment) and inequality (unequal outcomes) by exploring their mutually reinforcing relations – conceptualized as the Discrimination-Inequality Cycle. The project will collect and harmonizes cross-national
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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economics, data science or closely related field, with strong quantitative skills and demonstrated experience in applied econometric analysis, large-scale data integration, and global or regional economic
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and social care contexts. Participate in data coordination, integration, and harmonization efforts across multisite studies, ensuring methodological rigor and consistency in data management and analysis
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strong quantitative skills and demonstrated experience in applied econometric analysis, large-scale data integration, and global or regional economic modeling, as well as an interest in climate risk, soil
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Lazar Applied and computational mathematicsPhysics, materials science, and grain boundaries Nir Lev Harmonic analysis Frames and Riesz bases, Fourier bases, tilings and multi-tilings, crystalline
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associated tools) for microbials (WP2), plant extracts, semiochemicals, pheromones (WP3) and, ds-RNA (WP4); and from there (iii) build a harmonized RA for all LRP and determine its socioeconomic impact (WP5
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analysis (e.g., pandas, scikitlearn, matplotlib, seaborn, SHAP, or similar) will be valued; 7) Experience in machine learning techniques applied to materials science or process engineering (regression
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with handling and harmonizing large and variable datasets, statistical analysis, species/ habitat distribution modelling, use of R/Python, GIS, preferably open source GIS (e.g. QGIS, GRASS). Essential is