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This role is an exciting opportunity for researchers who are keen to use mathematical and computational methods to solve real-world problems in materials science and engineering. The focus
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Mathematics with Applied Mathematics and BSc Honours Statistics. Some of our students spend the last two years of education in Nottingham, UK, but most of them graduate in Ningbo, China. All our teaching is
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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
the minimum and $180,000 annually. JOB QUALIFICATIONS Qualifications Bachelor of Computer Science or Equivalent (Engineering, Mathematics, IT) with relevant experience 15+ years of strong enterprise
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The transition of boundary layers from the laminar to the turbulent regime is one of the most challenging topics in classical physics and applied mathematics, and stands as a bottleneck problem in
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years. Education A strong 4-year degree or MSc degree in Mechanical, Aeronautical, Civil, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills Fluid mechanics; desirable: wall-bounded
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limited to: • Pure Mathematics • Applied Mathematics • Computational Mathematics • Mathematical Physics • Statistics • Systems Science and Control Theory • Information Theory • Operations Research and
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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of Nottingham degrees in BSc Honours Mathematics with Applied Mathematics and BSc Honours Statistics. Some of our students spend the last two years of education in Nottingham, UK, but most of them graduate in
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degree in Computing, Computer Science, Information Systems/Technology, Mathematics, Electronic Engineering or a related discipline with at least three years of postdoctoral research experience
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by providing service teaching. It also offers master programmes in Applied Mathematics for Science and Technology with specialisms in Actuarial and Investment Science, Operational Research and Risk