337 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in United Kingdom
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2026. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Our partners value diverse and inclusive work environments that are positive
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-resolution (SR) technologies influence human and machine-based facial identification. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: 1. Do SR
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PhD studentship Family and environmental influences on children’s home learning, and inequalities in education and mental health outcomes Supervisory Team Dr Rebecca Lacey (rlacey
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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for representing and combining multimodal information over time. Grounded in machine learning, representation learning, and efficient algorithms, the work addresses real-world challenges in sustainable and
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see advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/economics/socialvalueofelectricalnetworkinvestment/ Study modes eligibility: Full-time Fee Status: Project
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, and sensitivity to local communities. For full details see advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/workemploymentorganisation
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School eligibility criteria apply, see full advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/managementscience/ai-augmentedgroupmodelbuilding/ Study modes
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
highly preferred, as the project requires advanced quantitative training. For full details, see advert: https://www.strath.ac.uk/studywithus/postgraduateresearchphdopportunities/business/accountingfinance
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Fibre reinforced composites have excellent in plane strength and stiffness and are being used in increasing quantities in aerospace, sports, automotive and wind turbine blade industries. However fibre reinforced composites are weak in their through thickness direction. This weakness can result...