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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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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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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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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 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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, 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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Position Description The Centro de Investigación en Matemáticas (CIMAT) (https://www.cimat.mx/ | https://www.cimat.mx/en ), located in Guanajuato, Mexico, invites applications from researchers in
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas
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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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, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy management, or production scheduling. Good knowledge of integrated energy
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for stochastic, distributionally robust, and mixed-integer nonlinear optimization problems. The successful candidate will conduct research at the intersection of stochastic programming, optimization under decision