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at the level of 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
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of Mathematics, which at Trinity includes Theoretical Physics, boasts research groups in Applied and Numerical Linear Algebra (ANLA) as well as a computationally-focused high-energy physics group working in
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(8) undergraduate courses in the academic year with four (4) in the fall semester and four (4) in the spring semester (lower and upper level such as Calculus, Discrete Mathematics, Linear Algebra, and
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techniques for communication. Experience from using/implementing machine learning and related tools. Good programming skills in MATLAB and/or Python. Fluency in mathematics, especially within linear algebra
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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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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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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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and other intermediate college-level courses. Ability to teach Multivariable Calculus, Linear Algebra, and/or Physics (in addition to Math) is preferred; candidates will teach courses in their fields
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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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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