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focus on the area of computational mathematics broadly construed. This includes optimization, mathematical foundations of machine learning and AI, AI for mathematics, and numerical analysis. Demonstrated
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whose scholarship or teaching connects to the mathematics of artificial intelligence and machine learning. The teaching load is two courses per semester. Bowdoin is particularly interested in candidates
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programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience (QBioS), and Machine Learning (ML@GT). Equal Employment
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whose scholarship or teaching connects to the mathematics of artificial intelligence and machine learning. The teaching load is two courses per semester. Bowdoin is particularly interested in candidates
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Tech, including PhD programs in Bioinformatics; Quantitative Biosciences (QBioS); Algorithms, Combinatorics, and Optimization (ACO); Computational Science and Engineering (CSE); and Machine Learning (ML
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, together with research experience in at least one class of modern generative models, are particularly encouraged to apply. In addition to conducting research, the successful candidate will teach two courses
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mathematics with a preference for candidates who specialize in nonlinear optimization, the mathematics of machine learning, or stochastic modeling. The faculty member in this position will teach mathematics and
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and machine learning. The teaching load is two courses per semester. Bowdoin is particularly interested in candidates dedicated to undergraduate teaching and with a promise of long-term successful
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August 1, 2027. We seek an outstanding mathematician whose research engages substantially with artificial intelligence, data science, or scientific machine learning. The successful candidate will have a
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the opportunity to apply for student research assistant support, an annual allocation of funds to support travel and research, a shared computer cluster for parallel computation, a grants office, and several