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Field
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, analysis, applied/computational mathematics, bio-medical mathematics, data science, differential equations, mathematical logic, mathematical physics, numerical analysis, neural networks, representation
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The School of Physics and Astronomy is seeking to recruit a Research associate / fellow to undertake development of magnetic field technologies supporting the development and commercialisation
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; however, applicants are asked not to send a copy of their dissertation. Separate from these application materials, applicants must arrange to have three letters of recommendation submitted. Recommendation
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Engineering, Industrial Engineering, Machine Learning, Artificial Intelligence, or related fields Expertise in numerical simulation of multi-physics systems, especially fluidic problems Expertise in generative
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provided throughout the recruitment process. To be successful you will need Postgraduate qualification relevant to research (Level A); PhD preferred (Level B) Experience implementing data collection and
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computational models to simulate and analyze normative behaviors in various contexts. Data Collection and Analysis: Design and implement empirical studies, including data collection, statistical analysis, and
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for a Research Fellow to drive the progress of a CREATE program of biomass conversion. The role will focus on the design, scaling, analysis, and simulation of the flow chemistry and reactor
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. Conduct research on optimization techniques and machine learning models in Air Traffic Management systems/airport operations. Collect, process, and analyse air traffic data relevant to the project. Develop
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in analysing and interpreting physical experiments. The PhD candidate will