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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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, CUDA, etc. Experience with numerical methods such as FDTD, FEM, BEM, etc. Basic knowledge of numerical linear algebra concepts, such as matrix factorization and decomposition algorithms. Familiarity with
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
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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
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Area: Combinatorial algebraic geometry Appl Deadline: (posted 2025/07/02, listed until 2026/01/02) Position Description: Position Description The School of Mathematics at Trinity College Dublin invites applications
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quantum systems with exact integrability, Apply these ideas in contexts ranging from holography to resurgent quantum field theory. The project lies at the intersection of geometry, algebra, and quantum
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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competitions, published research, et cetera); fluency in mathematical notation, comfort with algebra and calculus; C1/C2 level in English, both in oral and in writing; knowledge and/or mastery of different