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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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*-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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we favor candidates with previous experience in X-ray imaging preferably for biomedical applications. You should Have a solid grasp of microscopy, electromagnetism/optics and linear algebra Be skilled
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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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proficiency Additional qualifications Experience and courses in one or more of the following subjects are valued: numerical analysis for differential equations, numerical linear algebra, quantum physics, and
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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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mathematical concepts such as optimization, linear algebra, probability, and statistics, relevant to AI and quantitative modelling. Technical proficiency in programming66: Demonstrated programming skills with