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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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candidate will hold a PhD in physics, biophysics, physical chemistry, engineering, or a related area, or have submitted a PhD thesis prior to taking up the appointment. The research requires strong interest
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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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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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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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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to the Principal Investigator, you will help ensure a healthy and vibrant research environment within Natalia Ares’ and Dominic O’Brien research groups. You should possess a relevant PhD/DPhil (or be near completion
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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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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