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16 May 2024. Applicants must have (or expect to obtain) at least the equivalent of a UK upper second-class Bachelor's or Integrated Master's degree in a relevant subject, such as Chemistry or
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Funded PhD Opportunities in Health at the University of Sheffield Faculty of Medicine, Dentistry and Health PhD Opportunities Funding Available Students Worldwide View DetailsEmail EnquiryApply Online
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as an alternative to conventional psychiatric treatment, where residents were instead encouraged to embrace their madness without medical intervention. At Kingsley Hall, Mary regressed to a state of
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PhD Studentship - Extending the Chemical Space of mAb Based Cancer Treatment with DNA Nanostructures
the Institute for Life Sciences (50%) and the Medical Research Council (50%). Due to funding restrictions this position is only open to UK applicants. Administrative contact and how to apply: Please complete
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fields of science and engineering like light weight design, engineering, medical applications, dampers, energy absorbers, thermal management, artificial intelligence and many more. The proposed topic
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/(bio-)medical sciences (or an overseas qualification of an equivalent standard). Furthermore, the candidate should be familiar with analysis of time series data using mixed-effects models, this specific
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Duration of study: Full time - 4 years fixed term (1y MRes + 3y PhD) Starting date: September 2024 Primary Supervisor: Prof. Ilias Tachtsidis, Department of Medical Physics and Biomedical
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methods could alleviate this limitation by leveraging large amounts of un-annotated datasets. These techniques remain however largely unexplored in the field of medical video analysis. The School of Science
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for transformational research and education in technology and management. Research Excellence Framework 2021 (REF) has recognised 88% of Cranfield’s research as world-leading or internationally
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The School of Science and Technology, with its industrial partner 4BetterDevices GmbH, offers a studentship for the development of machine learning methods for feature selection and sensitivity