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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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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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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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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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(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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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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over separation algebras, combining linear and affine resources (by the end of December); - Develop a novel update modality supporting non-frame-preserving updates for thread-local resources so that
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Experience and courses in one or more subjects are valued: machine learning, optimisation, linear algebra, deep learning, programming, dynamical systems. Rules governing PhD students are set out in the Higher
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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