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there is an extensive body of work on demand forecasting for railway stations and services. This PhD project will therefore aim to develop a set of transferable and user-friendly demand models for bus stops
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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to test data, which are therefore only useable within a narrow range of scenarios. These limitations result in the requirement of large number of high-cost experiments being conducted to populate the models
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human emotions. It will address the following key questions: How can large-scale unlabeled videos be effectively utilized? How to design more effective multimodal learning methods using advanced
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team of 12 young scientists (Master/ PhD/ Postdoc). Our expertise lies in quantum foundations and quantum information theory. For additional information, please visit: https://dakic.univie.ac.at/ . Your
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the “Finances/Funding” field write “QIST PhD” Upload all required documents (CV, personal statement, degree certificates and transcripts). Contacts For further information about the programme at Sussex contact
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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University. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power Engineering, Cranfield University, in the area of gas turbine performance, diagnostics and prognostics
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learning models of quantum chemistry can achieve fast and accurate predictions, but comprehensive data sets for reaction barriers of large molecules simply do not exist. Several recent works have attempted
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acute infections, access primary care and understand antibiotic use. The successful applicants will play a pivotal role in leading qualitative and behavioural studies in large programmes of work