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Field
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has gone through a very rapid development in the last few years. Large-scale machine learning models are however notoriously over-confident. With insufficient amounts of data to train them on together
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the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics, damage and fracture. The loading conditions in contact and scratching
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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. Desirable Skills (an advantage, not a requirement) Data analysis skills in python. An interest in energy policy / the economics of energy. Numerical modelling. Eligibility This studentship is available for UK
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trustworthy mathematical models that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially
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of information transmission, derive the theoretical models governing them and demonstrate their intriguing properties experimentally. The practical realizations of these topological metamaterials will be based
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models, and obtain numerical solutions for the research topics as agreed, and described above Preparation of scientific papers Dissemination of results in project meetings, and national and international
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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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factors, including geographic location, hydrodynamic conditions, and water depth. This PhD will build upon numerical modelling studies to employ physical modelling experiments in state-of-the-art facilities
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Results: Ability to assess the influence of the engine plume on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion behaviour