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to algorithmic innovation, approximation, and scalable computing in high-dimensional and data-rich applications. Potential application areas include engineering or physical problems, problems with distributed
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limited to, quantum algorithms and simulation, quantum error correction, open quantum systems, quantum computing, quantum communication, quantum sensing, and quantum tomography. In accordance with USCIS
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and imaging science, data science, partial differential equations, control theory, material sciences, and related fields, with a strong foundation in mathematics and algorithms, to join us. We are
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systems, using techniques from areas such as functional analysis, operator theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse
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with Prof. Mauro Maggioni on problems that include: analysis and algorithms on graphs, geometric analysis of high dimensional data sets, dynamic data sets, scientific machine learning, high-dimensional
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parameters that determine energy fluxes and permafrost dynamics using inverse problems techniques. The developed algorithms and methods will be integrated into the LPJmL Dynamic Global Vegetation Model. Close
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mathematical structures and computational algorithms underlying modern machine learning and artificial intelligence. Relevant themes include geometric and algebraic methods for learning, structure-preserving
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: Reinforcement Learning (RL) in Complex Environments: Offline and online RL with high-dimensional, unstructured variables, partially observed states, and hidden actions; New methodological and algorithmic
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; • popularisation of the results and other forms of dissemination. Competition rules Announcement reference number SOB/D110/2026/02/50-0305581 Keywords Informatics, Mathematical logic, Algorithms, Combinatorial
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logic, Algorithms, Combinatorial analysis Deadline for submitting applications: 21 August 2026 Method of submitting an application to apply for the position, candidate should send an email entitled