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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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Polytechnic University aspires to leave its mark nationally, continentally, and globally. We invite applications for a postdoctoral research position in the fields of linear algebra and high-performance
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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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calculus, linear algebra, probability and statistics, and possess strong proficiency in mathematical thinking and abstract reasoning. Cellular, biochemical, molecular experimental skills Experience working
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embeddings, contrastive learning, or foundation models. Solid background in linear algebra, probability, and statistics. Strong programming skills with deep learning frameworks (e.g., PyTorch) and standard
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, billiards in the hyperbolic plane Alexander Guterman Linear algebra and its applicationsMatrices and graphs, numerical invariants in linear algebra, rings and algebras Emanuel Lazar Applied and
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general linear group, for general reductive groups even their most basic invariants remain undetermined. Applicants should hold a Ph.D. in Mathematics and possess a solid background in Algebraic Geometry
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 2 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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and conducting laboratory work. Insight into applied mathematics, linear algebra, process-based modeling, and soil health indicators. Experience with Python, applied statistics, and gradient-based