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human disease modelling, therapeutic target discovery, functional genomics and Artificial Intelligence/Machine Learning. The Enterprise arm of the MTI provides a comprehensive support system, which is
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multi-omics datasets. - Developing existing and novel techniques, including machine learning. - Opportunities to collaborate with researchers in the Cambridge Centre for Artificial Intelligence in
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. The postholder will work within a close clinical and scientific team of research assistants, PhD students, post-doctoral researchers and clinicians. They will be expected to work in a team environment and to
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enthusiasm to build on current strengths in maintaining and developing a leading research presence. They will hold a PhD or equivalent postgraduate qualification. Standard professorial duties include teaching
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. Candidates must have, or be close to obtaining, a PhD in either Plant Biology, Development, Molecular & Cell Biology or Genetics. The successful candidate will have advanced knowledge of, or experience in
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obtaining) a PhD. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5
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postgraduate matters in the Department, covering five MPhil (Masters) programmes and two PhD programmes. They are responsible for the management and co-ordination of the Postgraduate Office, working
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Sciences (HSPS) and also has a vibrant MPhil and PhD programme. There are currently about 80 students working on PhDs on a diverse range of topics in sociology. Further information about research interests
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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skills to work independently on a day-to-day basis. Applicants must have (or be about to obtain) a PhD in the physical sciences (or similar relevant experience); desirable fields of study include