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of Theoretical Physics at the Rudjer Boskovic Institute is looking for a postdoctoral fellow for work on the project "Stochastic processes on networks in systems with limited information", for a fixed term of
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the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical
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holder’s collaborators in Germany and in the US. Further information on the grant holder is available at: https://www.southampton.ac.uk/people/628nx8/doctor-bismark-singh . Informal enquiries may be made
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Research Fellows in applied mathematics which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID : 182821 Two Glasstone Fellowships are available and all applications for the Hooke and Titchmarsh
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equations, functional analysis, and stochastic analysis. For more information about the project, see here: https://www.mn.uio.no/math/english/research/projects/nastran/index.html Francesco Saggio/UiO via
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complexity theory. Language requirement: English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations
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stochastic analysis; differential geometry and geometric analysis; algebraic and geometric topology; algebra, number theory and cryptography; dynamical systems; analysis and nonlinear/stochastic partial
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exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: the average grade point for courses included in
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, engineering, mathematical physics, or related disciplines) Related Skills & Other Requirements Demonstrated abilities in mathematical modeling, statistical physics, dynamics of stochastic processes, analysis
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, statistical physics, dynamics of stochastic processes, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do