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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
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codes. The research focuses on: · Studying algebraic and combinatorial links between Boolean/vectorial functions and linear codes; · Constructing new families of linear codes derived from known or newly
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Scientist position in the areas of computational algebra, geometry, and topology. The successful candidate is expected to be active in research and to teach courses related to the focus of the advertised
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of invariants of operator algebras, such as K-theory and cyclic homology; and Developing a mathematical method for passing from numerical Berry curvature to robust topological invariants in a large class of cases
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University), James Choi (Yale University), and John Beshears (Harvard Business School) are hiring a full‐time predoctoral fellow to start work in mid-June 2026. This position will last until mid-July 2027
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Languages (ACP ), the section on Topology, Algebra, Analysis and Geometry (TAAG ) and the Centre for Quantum Mathematics (QM ). The proposed starting time is Winter 2026, with some room for flexibility
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engineering (or a closely related field), with a solid foundation in mathematics (e.g., matrix algebra) and coursework in areas such as digital signal processing, sound processing, and machine learning
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(or equivalent) degree in Telecommunication Engineering or Computer Science. Good knowledge of signal processing and artificial intelligence. Good knowledge of linear algebra and optimization tools
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categories; - homological algebra, categofication; - geometric group theory. Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR5149-NATCOL-028/Default.aspx Work Location(s) Number
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) are looking for a: PhD candidate, Cryptographic Hardware and Design Automation Project description We are looking for a PhD student to work on Cryptographic Hardware and Design Automation. The project is