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students, and about 200 undergraduate majors. Faculty research interests include algebra, algebraic geometry, analysis, applied and computational mathematics, constructive approximation, data science
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creating the fastest algorithms for modeling of entanglement purification circuits; creating the highest performance quantum error detection circuits; developing symbolic computer algebra systems for quantum
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their expertise in algebra and representation theory, expand research capacity of Dr. Rupert, facilitate increasing the number of publications and grant success, and provide an opportunity for Dr. Rupert to mentor
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, the monotonicity of period function, the center-focus problems, Bogdanov-Takens bifurcations, the algebraic limit cycles, Mathematical Biology, etc. - Starting date: Open until all positions are filled. Compensation
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students. It has an active programme of internationally recognized research in Pure Mathematics, Applied Mathematics, Statistics and Probability. The research culture is vibrant, with many visitors, seminars
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clear focus on algebraic coding theory and its applications. Fluency in English is required. Familiarity with computer algebra systems as SageMath or MAGMA is a plus. The candidate should have a strong
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory