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academic and industrial sectors. You will be recruited for a duration of 36 months and must work towards a PhD at Imperial College London. You will work on an independent research project related
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collaborating with one PhD student also working on the project. Hold a PhD in engineering, science or a closely related field, or equivalent research, industrial or commercial experience, Experience of working
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models, within the collaborative framework of the AUREUS network. This post is analogous to a PhD studentship, and the postholder is expected to fulfil the Departmental and College requirements to obtain a
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obtain, a PhD in Computer Science or a closely related field, with a strong background in at least one of the following areas: Formal Semantics, Compilers, Computer Architecture, Specification and
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to Research Associate, you should hold a PhD in infectious disease epidemiology, evolutionary biology, bioinformatics, or related quantitative discipline with strong analytical skills and an interest in
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the the needs of research and clinical applications. A PhD in (or equivalent experience) in Computer Science, Data Science, AI/ML, Computational Biology, or a related field. *Candidates who have not yet been
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, and has done a PhD in the field of computational neuroscience. The ideal candidate has expertise in computational neuroscience, in modelling reinforcement learning, in comparing modelling and
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hold a PhD (or equivalent) in the field of Medicine, Pharmaceuticals, or related to vaccine technologies or drug delivery. You will have knowledge of vaccines and formulation strategies as
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will have a PhD in biology/chemistry (or related) with research interests that significantly overlap with DNA data storage. More generally, we are interested in candidates with skills in the following
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to refereed journals. You will join a highly collaborative and multidisciplinary team, which includes PhD students and postdocs associates from Computing, Mathematics and Medicine in interdisciplinary settings