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assignment code between Python and Matlab. Fourier analysis, differential equations, and linear algebra. Qualifications: Only Current Masters or Doctoral student registered at McGill are eligible to apply as
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engineering process modeling: discrete models and continuous models. Mathematical skills: working knowledge of linear and nonlinear algebra, vector and tensor algebra and calculus solution methods for coupled
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are offered annually ranging from pre-algebra through linear algebra, differential equations, and discrete math. These courses support professional technical programs, transfer degree programs, and four-year
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. Teaching assignments will be selected based on the successful candidate’s strengths and academic preparation, to include Calculus, Linear Algebra, and other courses at the junior and senior level in
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on Mathematics （Analysis） 2. Teaching undergraduate and graduate courses of the Department of Mathematics and basic courses on Linear Algebra and Calculus of the Institute 3. Expected to be actively involved in
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mathematics offerings (e.g. general education mathematics, calculus, linear algebra, statistics). Develop and revise cutting-edge programs in support of both Data Science and Mathematics curricula. Serve in
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developing applied courses in areas such as math modeling, applied linear algebra, and/or actuarial and data science. An ability to teach at the graduate level in our Master of Science in Data Science program
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development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired. Where
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(or equivalent) degree in Telecommunication Engineering or Computer Science. Good knowledge of signal processing and artificial intelligence. Good knowledge of linear algebra and optimization tools
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: discrete mathematics, algorithms and data structures, probability theory, and linear algebra; Research experience in theoretical computer science documented by publications in reputable industry journals