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the fields of differential equations and/or stochastic processes, as well as computational approaches and/or statistical methods of data analysis. You can find more information about our research area and our
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of the Mathematics Department. A broad range of programs is possible including algebra, analysis, combinatorics, control theory, dynamical systems, geometry, numerical analysis, probability, statistics, stochastic
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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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candidate will have in-depth knowledge of how to address relevant biological problems using analytical methods from the fields of differential equations and/or stochastic processes, as well as computational
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, computational mathematics, and stochastic processes. Completion of the Ph.D. is required prior to or shortly after the date of hire. The successful candidate will enhance our advanced undergraduate applied
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additional stochasticity), profoundly impacting information transmission [4] and bacterial navigation behaviour. This project will be a collaboration between the groups of: Pieter Rein ten Wolde (Biochemical
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background in stochastic processes and mathematical/theoretical biology. The project will involve both theoretical and experimental components. Although no laboratory work is required, the project involves
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evidenced by a strong publication record in one or more of the following areas: random matrix theory, stochastic processes, neural networks, machine learning, and sparse data structures • Proficiency in
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
that approximates the target posterior through the minimization of The batch of N pairs of parameters (θi) and simulations (xi) is provided upfront and the loss function is minimized via some variant of stochastic