6 phd-mathematical-modelling-population-modelling Postdoctoral positions in Netherlands
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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Mitigation Policy and Requirements were updated in 2023, with a further update planned for 2030. Addressing this global concern requires not only models capable of projecting debris populations over different
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to ongoing work by Dr. Megha Khosla on trustworthy graph machine learning, especially on the relationship between transparency and privacy in graph-based models. Population-scale network data are highly
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of abstraction, from concrete, experimentally grounded models of quantum systems to general mathematical frameworks, and using the insights gained at one level to inform the other. You are excited by
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest