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of these four fields. Based upon available funding, this position may have a teaching load of up to 3 courses per year, which range from standard subjects like calculus or linear algebra, to other more advanced
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of computing, automata theory, graph theory, discrete mathematics, probability theory and stochastics, and linear algebra. We also value skills in e.g. using computational techniques in TCS, familiarity with
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of compiler- or AI‑generated code. Mathematical Foundations: Background in linear algebra, graph algorithms, and related areas central to dataflow and tensor optimization. Hardware/Software Co‑Design
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research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1