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for Manure Policy Effects (LMM), which uses a large panel dataset of agricultural holdings. These data are used for data analysis, econometric analyses, and model‑based simulations and optimisation at the farm
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telecommunications networks and urban infrastructures Change: Developing data analysis and modelling methods to understand the interdependency Impact: Better design to enhance telecom and urban performance Job
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balance of individual plasma species. You will implement new modelling approaches in state-of-the-art plasma simulation platforms, such as nonPDPSIM and HPEM , in the context of plasma etching and EUV
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constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R. You will then simulate cartilage microtissues growing inside engineered, confining microenvironments and
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor
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will focus on understanding, modelling, and controlling these topologically-protected spin waves, addressing both fundamental questions and potential applications. Your job This project consists of a
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and corresponding highly resolved numerical simulations have shown that this vorticity field in the fluid arises due to the misalignment of the density and pressure gradients at the liquid-air interface
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disease progression, care transitions, and quality of life. You will develop and refine a health-economic R-based simulation model, integrating surrogate outcomes from psychosocial and technology-based
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initiatives to define, procure and manage implementation activities aimed at optimising the handling of EO data in cloud-based and HPC environments and, in particular, their usage for simulation, modelling and