19 image-processing-and-machine-learning Fellowship positions at University of London
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Interview Date: To be confirmed Reference: CSS-0224-25 We are looking for enthusiastic individuals to apply for a two year fixed term fellowship in Cardiothoracic Surgery, in the Department of Clinical
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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qualification, with membership of one of the Medical Royal Colleges along with understanding of cancer diagnosis and staging with imaging and histopathology requirements, be able to work in multi-disciplinary
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the Course Director Nicky Longley, the Centre for Excellence in Learning and Teaching (CELT) multimedia team, and colleagues across LSHTM to design, develop, and deliver an innovative online programme. They
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . The supporting statement section should set out how your qualifications, experience and training meet each of the selection
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candidates who are not proficient in Arabic should show commitment to learning. Finally, there is an important fieldwork component of the project, and the successful candidate would be expected to spend
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be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference PHP-GHD-2025-17. The supporting statement section should set out how your qualifications, experience
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the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-DPH-2025-22. The supporting statement section should set out how your qualifications, experience and training meet each
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website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote