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for a postdoctoral research position in the fields of linear algebra and high-performance computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects
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computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an
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: algebraic combinatorics, applied algebraic geometry, non-linear algebra, discrete geometry (including total positivity, cluster algebras, amplituhedra, and positive geometry), and high-energy physics
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) python programming skills, 2) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on
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that supports science and engineering in all 50 states and U.S. territories. The NSF Research Assistant will assist with computational research projects that require strong proficiency in algebra, calculus, and
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topological dynamics. One of the most important classes of operator algebras are C*-algebras, which are operator-norm closed subalgebras of the bounded linear operators on a complex Hilbert space that
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*-algebras, which are operator-norm closed subalgebras of the bounded linear operators on a complex Hilbert space that are closed under taking adjoints. This project will focus on C*-algebras arising from
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good C++ programming skills Strong knowledge in mathematics and linear algebra Proficient English skills Precise, responsible, independent working style Experience in robotics Experience with physics
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Research in pure math topics including topology, abstract algebra, graph theory, and linear algebra Research in applied topics including linear algebra, numerical methods, and network science Cost / economic
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summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware