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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Field
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, mathematical analysis, linear algebra, and combinatorics required. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements
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who do not meet college readiness indicators. Course topics are determined by an individual assessment of algebra skills and may include operations with real numbers and fractions, polynomials, linear
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symmetries in optical systems, particularly in diffraction and reflection phenomena. Numerical Methods: Modeling complex optical systems through numerical solution techniques and simulations. Linear Algebra
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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. Course Title: Pre-Calculus and/or College Algebra (Algebra II) Course Descriptions: College Algebra II emphasizes linear and quadratic expressions, equations, and functions. This course also introduces
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writing clean, efficient, and well-documented code. Mathematics skills including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications
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in core machine learning theory—including statistics, optimization, and linear algebra—is desirable. The ideal candidate will have a proven ability to independently develop and execute research plans
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and more advanced subjects such as linear algebra, differential equations, and abstract mathematics. These classes support both general education and specialized study for STEM and math majors. Some
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Knowledge, Skills and Abilities • Qualified to teach Contemporary Mathematics, College Algebra, Trigonometry, Statistics, Finite Math, Business Calculus, Pre-Calculus, Calculus, and Linear Algebra
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra