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The Mathematics department at the University of Luxembourg currently has openings for up to 4 PhD positions in the following areas: - Algebraic geometry, - Geometry, - Mathematical aspects of computer science
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objectives:Characterise quantum symmetric domains and related algebras in terms of structural properties and topological and geometric invariants. To achieve this objective, the candidate will combine the analytical tools
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into the expressiveness of structurally constrained control flows. This PhD project explores these questions through the lenses of programming languages, automata theory, and process algebra. Key responsibilities
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several scientific fields and a multitude of educations ranked highly in international comparisons, is looking for a doctoral student to work on a compiler for linear algebra expressions. The Department
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the selection process. For more information on the Institute and the university, visit www.matem.unam.mx. PROFILE OF THE CANDIDATES The available position is in the area of Geometry and/or Analysis. Preferred
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
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. -------------------------- Ben Blander - former head of Citadel’s high frequency group and a key contributor in growing their P&L from $75 million in 2005 to $1.15 billion in 2008 . Previously Ben earned a PhD in Math (Algebraic
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head of Citadel’s high frequency group and a key contributor in growing their P&L from $75 million in 2005 to $1.15 billion in 2008 . Previously Ben earned a PhD in Math (Algebraic Topology under Peter
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning