39 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of London
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. The individual will have responsibility for developing computational aspects of the SPACE study (#SPACE_Study ) centred on use of Visium spatial transcriptomics to interrogate the spatial and evolutionary
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expect to soon receive, a PhD in psychology, psychiatry, epidemiology, or a related discipline. The post-holder should have experience analysing longitudinal data, experience of working with statistical
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, genomic sequencing, machine learning, and capacity development. Candidate profile The role is well-suited to individuals with expertise in population dynamics, quantitative disease ecology, infectious
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flexibly. *PhD candidates who are close to completion and have not yet received their PhD award, will be appointed on a salary of £37,889 - £38,483. On providing a copy of the formal award letter or award
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complex study. Applicants must have a PhD in a relevant subject. The study requires substantial skills in cell and molecular biology and will require vivo testing of the newly created cell-models. Omics
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should have a PhD (or close to completion) in applied health-related social science (e.g. health psychology, medical anthropology, public health). Applicants require experience of running research studies
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have access to state-of-the-art computing facilities and collaborate with UCL’s Advanced Research Computing Centre as well as experimental and theoretical low-temperature researchers at Royal Holloway
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PhD in a relevant field (or be close to completion**) and be able to work independently and collaboratively within a team, with a strong background in cell culture and/or tuberculosis research
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tumour models. For further information, applicants should contact Professor Denise Sheer at d.sheer@qmul.ac.uk . About You Applicants should have a PhD in cancer biology or a related field and must be
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Research Group. About You You should have a PhD in biological/chemical sciences or equivalent qualification, have demonstrable research experience relevant to the project and own digital literacy. The ideal