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, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
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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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full-time faculty members, whose principal research areas include Algebraic Semigroup Theory, Graph Theory, Mathematical Modeling in Medical Decision-Making, Mathematical Physics, Representation Theory
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managing and analyzing data. Strong analytical thinking and problem solving skills. Req Expertise in statistics, algorithms, graph-based software. Req In-depth knowledge of the principles and practices
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mathematics or a closely related field is strongly preferred by the date of appointment. Applicants should have expertise in geometry, topology, and/or number theory and a demonstrated commitment to and
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-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
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for distinguished professorship. Candidates in areas including, but not limited to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities
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the Science Division, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs
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faculty Position Location: Zhuhai, Guangdong Province 519087, China [map ] Subject Areas: real analysis, complex analysis, partial differential equations, functional analysis, graph theory or similar areas
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topics such as: neural networks self-supervised learning convolutional neural networks transformer-based networks graph-based approaches Bayesian learning information theory Documented strong programming