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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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thermal bath and an external energy source (e.g. an electromagnetic force, such as an electrostatic force, a light beam, or an electron beam). Within the framework of stochastic thermodynamics, the goal is
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use tools from dynamical systems (deterministic and stochastic) and information theory. The bulk of the tasks will be dedicated to the study of bacterial cells, but it may also include the analysis
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and validate their methods using real-world systems. Postdoctoral fellows will work across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled
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seminar in place. The research interests of the other faculty as well as the organized activities can be found on the Abu Dhabi Stochastics Group page. The Post-doctoral fellow will be appointed for a
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ReGroStaFT, which develops rigorous mathematical approaches to renormalization and coarse-graining for models from statistical physics, particle systems, and stochastic partial differential equations
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extreme events manifest and which are the most relevant processes? Do you want to bring together deterministic modelling and stochastic classification?Then we may have the perfect opportunity for you! We
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: Mathematics, Data Science, Statistics, Graph Theory, Optimization, Stochastic Processes Appl Deadline: 2026/01/31 11:59PM (posted 2025/12/09, listed until 2026/01/31) Position Description: Apply Position
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an optimization model, including the definition of constraints, objective functions, and solution methodologies. 2) Uncertainty Modeling: Incorporate stochastic modeling techniques to address the uncertainties
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to mathjobs.org and notify the department member you are interested in working with. Please see the link for members’ information: https://math.sustech.edu.cn/user/6.html?lang=en . Some professors want to recruit