28 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of London
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researcher to work in collaboration with and under the supervision of Professor Michelle West to realise the objectives of a research programme into Epstein-Barr virus (EBV) mechanisms of transformation and
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Principal Investigator with the day-to-day running of the project. About You The successful candidate will have a degree and PhD (or close to completion) or research qualification/experience equivalent to PhD
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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offers opportunities to publish, present at conferences and contribute to advances in marine engineering and sustainable aquaculture. About You You will hold a PhD in Mechanical/Marine/Computational
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practice. They will also be supported to develop their career and build grant or fellowship applications. About You Candidates must have a PhD (or close to completion) or research qualification/experience
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undergraduate and taught postgraduate students and 220 PhD students. Circa 40 administrative and technical staff support the staff and students. The staff and student body are international in make-up. The School
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information on both roles. About You Candidates must have an Undergraduate Degree in health data science or similar field. Applicants at the PDRA level must have a PhD (or close to completion) or research
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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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for educational and psychological research, policy and practice. About You A successful applicant should have, or expect to soon receive, a PhD in psychology, economics, epidemiology, or statistics. The post-holder
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural