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topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems, mathematical physics, mathematical statistics, number theory, numerical analysis
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to articulate and monitor programs, projects, and general business success. The Sr. Data Analyst will serve as a data consultant to the assigned area and to provide complex analysis and reporting on various
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scientific and national priority. ORNL’s mathematics research efforts provide the fundamental mathematical methods and algorithms needed to model complex physical, chemical, and biological systems. ORNL’s
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11 Nov 2025 Job Information Organisation/Company CNRS Department Institut des Systèmes Complexes de Paris Île-de-France Research Field Computer science Mathematics » Algorithms Researcher Profile
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physics https://www.tuni.fi/en/about-us/computational-physics Modeling and simulations have an increasing role in fundamental sciences and they are also pivotal in the analysis, interpretation and
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appropriate course of action in billing accounts. Ability to read and interpret information sufficient to understand memos, manuals and bulletins regarding complex billing and follow-up procedures. Mathematical
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complex, high dimensional and high-volume datasets. Uses data preparation, modeling and predictive modeling, analysis, processing, algorithms, and systems. Applies knowledge of statistics, machine learning
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and
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research interests in any area of applied mathematics, including computational and applied mathematics, mathematical biology, modeling and analysis of complex data and physical systems, mathematical
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research areas, and in January 2021 moved into a brand new purpose building with our colleagues in Mathematics. We are a relatively young and vibrant department – where inclusivity and collegiality is at