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for a postdoctoral research position in the fields of linear algebra and high-performance computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects
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: algebraic combinatorics, applied algebraic geometry, non-linear algebra, discrete geometry (including total positivity, cluster algebras, amplituhedra, and positive geometry), and high-energy physics
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=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing
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are: Analysis of PDEs in classical and non-classical fluid mechanics, dispersive PDEs, hyperbolic systems of conservation laws, pattern analysis, numerical linear algebra, numerical methods for PDEs and dynamical
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability
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to analyzing data Knowledge of high-performance computing, such as parallelization, the use of C++, or interfacing with specialized linear algebra packages Other Information: Work arrangement: On-site Candidates
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired. Where
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, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research environment; Are highly motivated and creative; Have an