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the appointment. This qualification should be in a field relevant to the project (e.g., tensor-triangular geometry, homotopy theory, commutative algebra, or point-free topology) Specific, relevant research
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differential equations: analytical and computational methods for differential equations and mathematical modeling. Numerical analysis and scientific computing: numerical methods, computational linear algebra
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. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and
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algebraic complexity, with emphasis on GCT, border complexity, Waring/tensor rank, and connections to representation theory and algebraic geometry. Publish research outcomes in leading venues in theoretical
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, strong foundations in mathematics (especially information theory, linear algebra, calculus), and knowledge in deep learning. Practical experience in a broad range of techniques including LLM training
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mechanics, statistical modeling, and linear algebra Preferred Qualifications: Experience with density matrix renormalization group and tensor network algorithm development and application. Competency with
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competence in probability, linear algebra, and statistical modelling is essential for this position. A strong interest in probabilistic modelling, latent-variable methods or Bayesian methodology is essential
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mathematical, statistical, or computational tools. The candidate must demonstrate a strong interest in methodological development. Proven competence in probability, linear algebra, and statistical modelling is
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, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong foundation in linear algebra (tensor
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, applied mathematics, computational science, biophysics, biomedical engineering, or a closely related field. Strong background in nonlinear continuum mechanics, tensor algebra, and finite element modeling