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research expertise in one or more of the following areas: algebraic combinatorics, applied algebraic geometry, non-linear algebra, discrete geometry (including total positivity, cluster algebras
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at Princeton University seeks to appoint Lecturers to teach courses, sections, and/or do grading in linear algebra, calculus, or upper division math courses. Appointments may be made for one or two semesters
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, employing recent analytic and numerical methodologies such as extended coordinates or pragmatic mode sum renormalization. Next, the linearized Einstein equations describing perturbations of the black hole
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: Required: • MSc (or equivalent) in: Computer Science, Cybersecurity, Machine Learning, or related field • Strong background in: machine learning / deep learning, mathematics (probability, linear algebra
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in high performance scientific computing, multi-linear algebra and tensor contractions for heterogeneous exascale architectures. The successful candidate will join the NumPEx PEPR to reinforce
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the 2026–27 academic year. Teaching assignments will be determined in consultation with the successful candidate and are expected to include courses such as multivariable calculus, linear algebra
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mechanical engineering, aerospace engineering or a related field. The candidate must have proven experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong background in linear algebra
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candidate must have a proven experience in numerical simulation in fluid mechanics and/or aeroacoustics, as well as strong skills in linear algebra and signal processing. Website for additional job details
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well as strong skills in linear algebra and signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR3346-NADMAA-158/Default.aspx Work Location(s) Number of offers
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related field. The candidate must demonstrated experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong expertise in linear algebra and signal processing. Website for additional