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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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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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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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profile We welcome applicants with backgrounds in computer science, applied mathematics, or engineering. Essential: strong Python, deep learning experience (PyTorch), and foundations in calculus/linear
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, such as quantum sensing, quantum cryptography and quantum computation, with experiment limitations implemented as mathematical constraints. The applicant should have a a mastery of linear algebra
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the Numerical Analysis group at TU Delft. The group is internationally recognized for its contributions to iterative methods, numerical linear algebra, and parallel computing. The project will be carried out in
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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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background in linear algebra, finite fields and rings; Strong background in digital hardware design and design automation; Excellent hardware design, programming, and debugging skills; Experience with computer
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a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and