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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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topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems, mathematical physics, mathematical statistics, number theory, numerical analysis
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courses on topics such as differential equations, complex analysis, measure theory, probability, or stochastic processes. The faculty member should have a strong potential for collaborating in current and
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at the “resume” prompt, please withdraw your application, and re-apply to upload your combined documents as one file. Job Summary The Budget Specialist performs moderately complex job duties to support preparation
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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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computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive
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degree in Social Sciences, Education, Mathematics, Statistics, or a related field strongly preferred. ? Five to eight years of experience in data analysis, statistics, qualitative and quantitative research
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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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that do not fully refine ingredients and leave some of the native structure of the plant material intact. These less refined ingredients however exhibit complex behaviour, and we therefore need machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will