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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 22 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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involve various aspects of the modeling and the optimal control of active systems. The candidate is also expected to take part in the scientific activities organized within Physics of Active Matter group
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numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can involve various aspects of the modeling and the optimal control of active
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quantitative methods. Project topics may include statistical modeling, machine learning, optimization, data analysis, mathematical modeling, AI-related applications, financial modeling, healthcare analytics
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emphasis will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
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the statistical programmers, identify training needs and opportunities for optimizing staff utilization and employing the most efficient practices. Duties and responsibilities include, but are not limited
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for those who specialize in nonlinear optimization, the mathematics of machine learning, or stochastic modeling. The faculty member in this position will teach mathematics and/or statistics courses
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modeling, machine learning, optimization, data analysis, mathematical modeling, AI-related applications, financial modeling, healthcare analytics, operations research, or other applied areas depending
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* Develop and implement standardized quality and logic checks to validate data accuracy, and conduct basic statistical analyses * Offer solutions and suggestions to optimize the scope and precision