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level (e.g., calculus, linear algebra, differential equations, and introductory statistics), along with upper-year courses in applied mathematics depending on the candidate’s expertise (e.g., mathematical
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structured approach to problem-solving. Strong foundations in linear algebra, probability theory, and calculus are required. Solid skills in programming are required. Additional qualifications Experience with
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(PDEs), and linear algebra Experience with high-performance computing (HPC) or cloud-based simulation acceleration Experience with integrated photonic device fabrication and light-matter interactions
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Qualifications: Students who have previous teaching or tutoring experience Students who have two or more years of programming experience in Python and/or R Students who have completed Calculus III, Linear Algebra
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Calculus I & II Introduction to Scientific Data Analysis Statistics for Scientific Data Analysis Calculus I & II for Physical Sciences Vector Calculus, Linear Algebra and Differential Equations Probability
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(4) undergraduate courses in the academic year with two (2) in the fall semester and two (2) in the spring semester (lower and upper level such as Calculus, Discrete Mathematics, Linear Algebra, and
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Applied Mathematics and Operations Research Department: The CMOR department holds world-class expertise in continuous optimization, numerical linear algebra, partial differential equations, inverse problems
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, Preparation for Calculus, Calculus, and Linear Algebra. Adjunct faculty members will be required to use certain texts and meet certain parameters set by the Department of Mathematics. Adjunct instructors will
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hiring full and part-time lecturer positions to teach the following subjects in Summer 2026: Preparatory Calculus Calculus I & II Calculus I & II for Physical Sciences Vector Calculus Linear Algebra and
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qualifications Preferred candidates will have experience with programming tools (UNIX, bash, MATLAB/Python programming), a strong college math background (linear algebra) and/or statistics, and previous research