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Field
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team of Professor Holly Krieger and work on any aspect of algebraic, arithmetic or complex dynamics. The role holder will be expected to plan and manage their own research and administration, with
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applications for one postdoctoral position in theoretical physics with focus at the intersection of operator algebras and high energy physics, to begin September 1, 2026. Current faculty in the high energy
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experiences in one or more of the following areas: free probability, random matrix theory, operator algebras, operator theory, noncommutative analysis and geometry, or quantum information theory. MQ: Requires
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field theory and string theory, including quantum integrability, vertex algebras, the geometry of moduli spaces, and enumerative invariants. We invite creative and highly motivated researchers who wish
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research community. The position is based in the division for Analysis, Algebra, and Dynamical Systems (LTH). The postdoctoral position is connected to the study of partial differential equations (PDEs) in
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 3 hours ago
learning algorithms Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork skills Point of Contact Mikeala Eligibility
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professionally and personally, and to actively contribute to a dynamic and innovative research community. The position is based in the division for Analysis, Algebra, and Dynamical Systems (LTH). The postdoctoral
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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the wider academic community. Experience in algebraic number theory or representation theory of reductive p-adic groups. . Skills Demonstrable ability to work cooperatively as part of a team, including
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benefits are in accordance with the German public sector scale, TV-L E13. Your Qualification: Strong mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). Master's