11 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Computer Vision Center" PhD positions at Nottingham Trent University
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applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying computational
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writing a research proposal can be found here: https://www.ntu.ac.uk/study-and-courses/postgraduate/phd/how-to-apply/writing-a-research-proposal Further information about Research Degrees at NTU as well
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connected to the topic and details of the methodology. Further information and help on writing a research proposal can be found here: https://www.ntu.ac.uk/study-and-courses/postgraduate/phd/how-to-apply
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work on or connected to the topic and details of the methodology. Further information and help on writing a research proposal can be found here: https://www.ntu.ac.uk/study-and-courses/postgraduate
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similar to how a person might respond. This means that AI can offer tailored and human-like feedback in real time. Critical feedback, while important to support learning and career growth, may cause
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(2024). Journal of Optics , 26(6), 065505. Highlighted in in Nature Photonics: https://www.nature.com/articles/s41566-024-01500-4. [4] Zheng, Z., Xu, L., Huang, L. J., Smirnova, D., Kamali, K. Z
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that demonstrate how simulation models can be developed and used to support learning and insight generation. The purpose of this project is to develop empirical evidence to confirm whether useful
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, computer science, organisational behaviour or a related field. An interest in cognitive science, AI systems, human-machine collaboration or algorithmic fairness would be particularly useful. Supervisors Dr Chinomso Nwagboso Demola Obembe
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The rapid rise of Virtual Influencers (VIs), computer-generated personas designed to simulate real individuals, is transforming the global marketing landscape and reshaping how brands connect with
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processing, information extraction, knowledge graphs, or privacy-preserving machine learning might be used to transform unstructured community data into structured, reusable, and policy-relevant evidence