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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 13 hours ago
Position Details Position Information Position Title Part-Time Academic (MATH 1030.03 - Matrix Theory & Linear Algebra I) - Summer 2026 Posting Number PTAP3223P Department/Unit Mathematics
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
kelly.squier@utoronto.ca ----------------------- Course Code and Title: MATA23H3 Linear Algebra I Course Description: Systems of linear equations, matrices, Gaussian elimination; basis, dimension; dot products
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
kelly.squier@utoronto.ca ----------------------- Course Code and Title: MATB24H3 Linear Algebra II Course Description: Fields, vector spaces over a field, linear transformations; inner product spaces
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
kelly.squier@utoronto.ca ----------------------- Course Code and Title: MATB24H3 Linear Algebra II Course Description: Fields, vector spaces over a field, linear transformations; inner product spaces
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advanced undergraduate mathematics, including, but not limited to: Calculus 1, Calculus 2, Calculus 3, Differential Equations, Proof-Based Linear Algebra, and major’s level courses in the discipline of the
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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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mathematical analysis and linear algebra, as well as probability, statistics or numerical methods; d) domestic or international scientific internships; e) valuable publications in the discipline of mathematics
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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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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