16 systems-science-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions at University of London
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About the Role A Postdoctoral Research Associate position is available for 24 months within the School of Engineering and Materials Science at Queen Mary University of London to work on a Leverhulme
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relevant activities related to the research project as appropriate. About You The successful candidate will hold a PhD (or be close to completion) in molecular biology, biochemistry, genetics, bioinformatics
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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rural Hertfordshire. The RVC has a unique, rich heritage of innovation and leadership in veterinary medicine and science. We are passionate about and fully committed to ensuring the health and welfare
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and Social Sciences. With 150 academic staff, the School is a vibrant inclusive community where disciplines come together to explore and challenge our understanding of the world. The Department
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nearing completion) in Bioinformatics, Computational Biology, Genomics, or a related field, and proven experience in analysing high-throughput sequencing data. They will be proficient in R and/or Python and
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equivalent to PhD level, in Electrical Engineering. Candidates should have knowledge in energy management and conducting power systems modelling and optimisation through simulations. This is a Full-time post
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funded project Right Worlds. This full-time post is available for two years, from 1 September 2026 (or as soon as possible thereafter) based at our Mile End Campus in London. Right Worlds explores
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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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is an NIHR Research for Patient Benefit (RfPB) project developing culturally sensitive co-design tools for minority ethnic communities’ involvement in intervention design. This includes leading