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Field
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Mathematical AI/Machine learning/deep learning Computational topology/geometry/combinatorics Candidates are required to have a Ph.D. in Mathematics, mathematical related field or an equivalent area before
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research spans Computational Mathematics, Nonlinear Mathematics including Nonlinear Dynamics and Waves, Mathematical Biology, Physical Applied Mathematics, Probability, and Statistics. The Department
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encouraged to apply. The successful candidate will be expected to establish a vigorous, externally funded research program characterized by originality and long-term vision, while also contributing
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percentages; use algebra, geometry and trigonometry, 10) instruct others to perform a task, 11) provide guidance and expert advice about technical systems or processes, 12) locate, disable and enable electrical
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outreach and service for Department and College initiatives, especially for underserved communities and high-needs areas. Contribute to program design, development, and evaluation at the undergraduate
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not limited to – applied topology, algebraic statistics and computational algebraic geometry, cryptography and computational number theory, computational combinatorics, discrete and computational
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advanced vehicle concepts and better control systems. Actively changing the geometry of the aerodynamic lifting and control surfaces, enables reconfiguration of vehicle structure in real-time to optimized
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responsible for competency-based instruction in a managed classroom, independent learning situations and online study program. The course will be focused on advanced math.Duties include but are not limited
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apprenticeship program with five years of journeyman rigger experience or 10 years combined documented experience in the rigging industry. Preferred Qualifications: Possess the ability to work collaboratively with
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discovery Bioinformatics/protein engineering/single-cell RNA sequence analysis Machine learning/deep learning Computational topology/geometry/graph. Research Associates will be affiliated with Professor