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, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have almost 50 persons in permanent academic positions and a
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structure of observable algebras in quantum field theory. This project looks at time observables as quantum reference frames of both quantum mechanical and quantum field theoretic systems, described by
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from all research areas in mathematics, priority will be given to applicants working in a field closely related to one of the following subjects: Number Theory and Representation Theory Algebraic
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of mathematics including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications provided by researchers. Excellent communication skills and
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | about 1 month ago
expertise in optical instrumentation, measurements on complex systems, data processing, and physical modeling. Strong knowledge of physics and algebraic calculus. Proficiency in programming complex
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analysis, including numerical linear algebra and high-order methods High performance computing and open source software libraries (For a full description of CCM research areas and scientific staff, please
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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37673, Korea, The Republic of [map ] Subject Areas: Symplectic topology, algebraic geometry Appl Deadline: 2025/09/08 00:00AM (posted 2025/07/11, updated 2025/07/10, listed until 2025/09/08) Position
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-documented code. Knowledge of mathematics including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications provided by researchers
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machine learning and/or image analysis/computer vision A solid and documented background in machine learning, mathematics, linear algebra, and/or statistics Documented knowledge and experience in Python