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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
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industrial partners to deliver impacts on real world The opportunity to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts
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to reshape the paradigm of power system analysis and operation The opportunity to receive training and mentoring from world-leading experts *Candidates who have not yet been officially awarded their PhD will
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expertise in the design and evaluation of imaging solutions and will have an opportunity to work with scientists and engineers at Cefas. They will undertake training specific to this project including imaging
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-inflammation and psychiatric disorders (e.g. depression). The cellular processes underlying structural brain change include neurogenesis and gliogenesis, cell loss, changes in cell shape, synapse formation and
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results from human decision-making to inform the design of this new paradigm, and feed the results of the latter back into human decision-making to help make it more explainable. The PhD student will: (1
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-inflammation and psychiatric disorders (e.g. depression). The cellular processes underlying structural brain change include neurogenesis and gliogenesis, cell loss, changes in cell shape, synapse formation and
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Computer science » Other Engineering » Biomedical engineering Medical sciences » Other Researcher Profile