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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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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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statistical models for the dynamic prediction of survival outcomes in complex longitudinal studies” under the supervision of dr. Mirko Signorelli. What you will do The Mathematical Institute of Leiden
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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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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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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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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 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
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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