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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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: discrete mathematics, algorithms and data structures, probability theory, and linear algebra; Research experience in theoretical computer science documented by publications in reputable industry journals
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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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, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research environment; Are highly motivated and creative; Have an
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mathematical foundations, including linear algebra, control theory, statistics, and probabilistic methods. *Please note that the successful candidate will be required to undergo an academic qualification check
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graph theory, complex dynamical systems, computational mathematics, data science, difference equations, financial mathematics, mathematical biology and modeling, numerical analysis, numerical linear
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CI/CD workflows. Experience with Docker/container frameworks. Experience developing and maintaining open source software. Familiarity with the fundamentals of linear algebra, robotics, and computer
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: General Mathematics: This skill-based course introduces the mathematical skills required for further tertiary study developing knowledge of linear algebra, networks, vectors, matrices, measurement and
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workflows. Experience with Docker/container frameworks. Experience developing and maintaining open source software. Familiarity with the fundamentals of linear algebra, robotics, and computer graphics
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, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and