38 assistant-professor-and-data-visualization PhD positions at University of Nottingham
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, including those in local clinical settings, national meetings of the MHM; and to have interests across both qualitative and quantitative approaches to healthcare analysis. Further information: Applicants
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at the University of Nottingham. The PEMC group has undergone a significant period of growth and now has over 150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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advantageous. Eligibility and Application The position is open for both UK home and international candidates. PhD Start date: 1 October 2025 Application deadline: 10 June 2025 For further information please
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The position is open for both UK home and international candidates. PhD Start date: 1 October 2025 Application deadline: 10 June 2025 For further information please email Prof. Michele Degano: michele.degano
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in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
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to redefine how condition-monitoring systems operate. The proposed approach will reduce unnecessary data collection and help decision-makers and system designers identify the most effective condition-monitoring
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3-year PhD studentship: Scaling-Up Functional 3D Printing of Devices and Structures Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD
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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and