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Mathjobs.org | 18 days ago
machine learning methodologies to address them. The search is broad and welcomes research spanning modern statistical methods, machine learning, AI, and emerging approaches to data science, with
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Mathjobs.org | 18 days ago
flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum
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Mathjobs.org | 18 days ago
mathematics, artificial intelligence, computability, computational complexity, computational mathematics, computer systems, discrete mathematics, machine learning, mathematical modeling, numerical
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Mathjobs.org | 18 days ago
expected Ph.D. graduates doing advanced research with a connection to applied mathematics, computational mathematics, or machine learning. Kruskal Instructor responsibilities include engagement in
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Mathjobs.org | 18 days ago
. graduates doing advanced research with a connection to statistical theory, methodology and applications, probability theory, machine learning, or data science. Kruskal Instructor responsibilities
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Mathjobs.org | 18 days ago
the department includes statistical learning, high-dimensional statistics, data privacy, Bayesian statistics, sequential analysis, scientific machine learning, and random matrix theory. Binghamton
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Mathjobs.org | 18 days ago
programming, game theory, operations research, machine learning, or a related field is preferred. Candidates must be ready to contribute to the development of new or existing courses. A Ph.D. in
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Mathjobs.org | 18 days ago
: Demonstrated strong commitment to teaching and advising is desired. Special Instructions: Please submit the following materials through the ARIeS portal: https://academicpositions.harvard.edu/postings
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Mathjobs.org | 18 days ago
an outstanding mathematician whose research engages substantially with artificial intelligence, data science, or scientific machine learning. The successful candidate will have a primary appointment
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Mathjobs.org | 18 days ago
of statistical methods for high-dimensional and/or large-scale data, mathematical and statistical foundations of machine learning, statistics of stochastic processes and dependent data, or statistics