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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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                Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics | Croatia | 2 months ago
field of mathematics, for work on the project Croatian Science Foundation „Scaling in stochastic models“ (Project ID: DOK-2025-02-9144), according to the tender Croatian Science Foundation „Razvoj
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the SCM section will fill a maximum of one PhD positions this year that can be on any of these topics. Machine learning for stochastic last-mile deliveries In recent years, stochasticity has received
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, focusing on topics such as Lagrangian spontaneous stochasticity, anomalous dissipation, anomalous regularization, and others. Additional research directions can be pursued if desired, upon agreement with
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: Algebraic geometry and number theory Area 3: Stochastics and mathematical finance Area 4: Discrete mathematics and optimization Area 5: Discrete geometry Area 6: Numerical mathematics Area 7: Applied analysis
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or non-parametric functional distribution for species responses to environmental drivers as well as latent factors to describe spatially and temporally structured stochastic processes. JSDMs are routinely
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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the focus areas are stochastic optimization and equilibrium modelling in energy systems and markets. Position 1: PhD Project - “Optimisation of household demand response” The project aims to achieve
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stochastics group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam is inviting applications via the Ellis PhD Program for a PhD position in mathematical machine learning
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econometrics, high-dimensional statistics, machine learning, nonparametric statistics, portfolio theory and stochastic processes. Our PhD program comprises a 2-year MPhil Phase with courses aimed at building a