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Field
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, comparable flexible models for longitudinal data are still lacking. Moreover, it remains unclear how to assess whether simpler latent variable models adequately fit these complex datasets. During this PhD
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addresses the "calibration problem" in particulate continuum models and particle simulations. Specifically, it focuses on developing robust methodologies for selecting and parameterising contact models, a
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the potential source range of representative aerodynamically capable pests. Whether insect tree pests of concern to the UK can be classified by likely flight dynamics, and how these classes correspond
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PhD-studentship in Applied Mathematics / Quantitative Ecology: Wind‑Assisted Dispersal of Insect Tree Pests: An Interdisciplinary Modelling and Ecological Study Award Summary 100% home fees covered
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– Adaptive & Agentic AI. The PhD project focuses on developing robust and reliable machine learning systems that can adapt at test time under real-world distribution shifts. Modern foundation models (e.g
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Energy Modelling”. The PhD candidate will be supervised by supervisors from DTU and Chalmers. This project will integrate energy technology, building physics, HVAC systems, control systems architecture
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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where
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traffic management. Model and assess the integration of hydrogen and electric aircraft into European airspace and support the EU Green Deal net-zero emissions goals. Job description We are seeking a
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with different climate objectives using a coupled climate model. The scenarios used involve actors who may or may not communicate/agree on actions and may or may not have common objectives, based
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land-use and socio-economic simulation models to inform land use planning and policy still inadequately capture many of the benefits of nature restoration, especially those that emerge through spatial