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team led by Ass.-Prof. Dr. Matija Bucic. Our ideal candidate will bring a pronounced interest in developing and applying of ldeas in extremal and probabilistic combinatorics and finding applications and
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novel combinatorial, algebraic, and probabilistic tools, you will work on resolving fundamental extremal problems in the area of finite geometry. These problems have connections to Ramsey theory, coding
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of statisticians, probabilists, and applied mathematicians in the department, which includes, but not limited to, statistical learning or computational statistics Proven or potential for successful teaching and
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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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learning, computational mathematics, and probabilistic modeling, with direct applications in medical imaging and beyond. Details can be found in the link below. The position is suitable for disabled persons
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mathematical foundations, including linear algebra, control theory, statistics, and probabilistic methods. *Please note that the successful candidate will be required to undergo an academic qualification check
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Classification Title: Post Doctoral Associate Job Description: The Department of Epidemiology (http://epidemiology.phhp.ufl.edu/) is strategically situated within the College of Public Health and
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the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The faculty of the Department of Mathematics at the University of South Carolina
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datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people
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Infrastructure? No Offer Description Employment for the implementation of the National Science Center (OPUS) project: "Multilevel modeling of shear capacity based on research, simulations, and probabilistic