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of harmonic analysis, partial differential equations, and mathematical physics. The problems to be studied include, but not limited to • Homogenization theory of partial differential equations. • Boundary value
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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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of Quantum Probability and Operator Algebras, Differential Geometry, Algebraic Geometry, Numerical Methods especially for Stochastic Differential Equations, Harmonic Analysis, and Classical Analysis, each
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the research team around Univ.-Prof. Dr. Philipp Grohs. Our ideal candidate has a strong interest in Applied Mathematics, possesses solid and profound background knowledge in Numerical Analysis, Approximation
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and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities
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and North, ensuring real-world testing across diverse agricultural contexts. Beyond the research itself, IBIS aims to implement standardized experimental protocols, harmonized data formats, and
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of antimicrobial resistance (AMR) genes. By applying high-throughput sequencing and integrative data analysis in clinical and environmental settings across hospitals in Guinea-Bissau, Nigeria, and Côte d'Ivoire
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marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models on available and harmonized biodiversity and environmental data. Both projects provide