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Field
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equations, functional analysis, graph theory or similar areas depending on the evolving needs of the department. The successful candidates are also expected to supervise undergraduate and graduate students in
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emphasis on Extremal and Probabilistic Combinatorics, Graph Theory, Discrete Geometry, Ramsey Theory and Combinatorial Number Theory. The initial appointment is for 1-2 years, with a starting salary of no
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than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101
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Position Description The Johns Hopkins University’s Department of Mathematics invites applicants for one or more positions as Postdoctoral Fellow. Candidates must have completed their Ph.D. prior
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must be met no later than the time the employment decision is made. At least three of: (stochastic) partial differential equations ((S)PDEs) graph theory/network science stochastic optimization and
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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to have a sound basis in discrete math, graphs, propositional logic, and algorithms. Some background in complexity theory would be an advantage. Due to the international supervising team, the working
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds
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About the scholarship Application status: No application required Applicable study: Woman student in Mathematics Education or Discrete Mathematics (Including Graph Theory) Opening date: Closing date