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, is seeking top early-career researchers for a number of attractive postdoctoral positions within Mathematics and Stochastics. The positions have 1st January 2027 as earliest possible start dates. You
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Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
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. The successful candidate will be part of a research group with responsibility for carrying out research in Stochastic Analysis of Euclidean quantum field theories and related fields as part of the UKRI Frontier
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are able to start by 1st May 2025, or as soon as possible thereafter. The successful candidate will be part of a research group with responsibility for carrying out research in Stochastic Analysis
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science with strong connections to engineering, natural sciences, and industry. About the research project The PRONTO project aims at modeling public transport networks with stochastic partial differential
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
position on ocean modelling within the ERC Stuod (Stochastic transport in ocean dynamics). Odyssey (for Ocean DYnamicS obSErvation analYsis) is a recently created team involving researchers from Inria
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, Bioengineering, or a closely related quantitative field in hand by the start of the appointment. ● Strong background in one or more of: stochastic processes, probability theory, dynamical systems, statistical
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validation of the Three-Component Model (TCM). Advanced approaches, including mixed-effects models, spectral, cosinor and stochastic modelling, will be considered. The researcher will also contribute
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stochastic accumulation. The position will be jointly mentored by Dr. Tim Pleskac and Dr. Jerome Busemeyer, with the postdoc taking a leading role in theory development, computational modeling, and
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on probability, partial differential equations, large deviations, stochastic analysis, optimisation and machine learning. The successful candidate will contribute to the activities of the Machine Learning & Data