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quality refereed journals and write reports for submission to research sponsors. You must hold a PhD (or be near completion) in a biomedical field of laboratory-based research (ideally immunology and/or
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
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Building). The post is funded by EPSRC and is fixed-term for up to 24 months. The GLUTRONICS project seeks to enhance the quality of life of the millions worldwide affected by chronic conditions, and reduce
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
biodiverse and socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how
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at the plasma membrane. The lab undertakes a multidisciplinary approach spanning biochemistry/biophysics, cell biology and structural biology to address our research questions. In this role you will build on our
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these processes, with the aim of understanding how ageing promotes CH progression. You will hold a PhD within the area of molecular biology or have thesis submitted at time of application, and will have experience
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at the Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, OX3 7DQ, and is offered on a full-time basis, fixed-term for 12 months in the first instance. About you You will hold, or be
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Secretion System. You will build on our recent work in this area (Nature (2018) 564: 77, Nat Microbiol (2021) 6: 221, Nat Microbiol (2024) 9: 1089, bioRxiv (2025)) by carrying out protein biochemical, cell
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of the project. Applicants should hold, or be close to completion of, PhD/DPhil in Biology or a related subject. You should have a high level of competence in cell biology and relevant experience demonstrated by
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal