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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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or expect to hold a Ph.D. degree in Mathematics. 2) Have a solid background in one of the following fields: Kahler geometry, geometric PDEs (Ricci flow, harmonic map, Hermitian-Yang-Mills connection
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: Postdoctoral Fellow (no. of vacancies: 3) Start date: Flexible (two-year appointment) Requirements: 1) Hold or expect to hold a Ph.D. degree in Mathematics. 2) Have a solid background in analysis. 3) Aged under
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(two-year appointment) Requirements: 1) Hold or expect to hold a Ph.D. degree in Mathematics. 2) Have a solid background in one of the following subjects: Dynamical Systems, Number Theory, Several
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, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a
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. Additional Information: Required Education: Doctorate (Academic) in Mechanical Engineering, Aerospace Engineering or Applied Mathematics Desired Education: Doctorate (Academic) in the above majors with a focus
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neuroscience or equivalent field. Sufficient mathematical, biological, or equivalent expertise to perform research. Preferred Qualifications: Experience in behavioral neuroscience, good writing and speaking
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arts. SAS offers more than 100 majors and minors across the life sciences, humanities, social and behavioral sciences, and mathematical and physical sciences with research centers and institutes across
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students. SPS is responsible for the research training of over 120 PhD students. SPS is research intensive with internationally recognized expertise in Human Factors, Mathematical Psychology, Industrial and
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical