31 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" research jobs at University of London
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(PHES) is seeking to appoint a Research Fellow to contribute to the UKRI-funded Local Health and Global Profits programme, a national research consortium led by the University of Bath and involving
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post or completed CCT and looking for the opportunity to undertake an out of program research project to result in the award of a PhD. You will have obtained MRCP or equivalent and be working towards
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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significant scope for scientific creativity. You will have opportunities to publish in high‑impact journals, develop new modelling methodologies, work with high‑performance computing resources, and contribute
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of CH previously developed in our group. About You We are seeking quantitatively-minded researchers with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary
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postgraduate programmes, including programmes that are jointly run with other Schools. The School has over 1000 undergraduate students, and over 500 postgraduate taught students. It offers excellent facilities
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School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational
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and Immigration website . Full-Time, Fixed-Term (until 31 August 2028) The Department of Computer Science is seeking a Postdoctoral Research Fellow for the Leverhulme-funded project “Social Mechanisms
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project