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, bioinformatics, and data science. You will design and deliver statistical analyses using large-scale electronic health records and pathogen sequencing data to improve infection diagnosis, management, and
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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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at the Peter Medawar Building for Pathogen Research, Oxford. This Wellcome Trust–funded position offers an exciting opportunity to work at the interface of genomics, virology, and data science, focusing on how
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close to completing) a PhD in statistical genetics, computational biology, bioinformatics, or a related quantitative discipline, with proven expertise in the analysis of large-scale sequencing data and
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of healthy aging using cutting-edge single-cell and AI-based tools, as well as population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell
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earthquake engineering problems, preferably with a focus on liquefaction of sands. Informal enquiries may be addressed to Prof. Orestis Adamidis (email: orestis.adamidis@eng.ox.ac.uk) For more information
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candidate will hold a DPhil/PhD/MD (or be near completion) or equivalent, have a proven track record in biochemical assays and imaging, and have the ability to work collaboratively within a team. It would be
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the group and communicating our research; and generating new research and grant opportunities. It is essential that the post-holder has a doctoral degree (PhD or DPhil) in physics, engineering, or another
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immunologist with a strong interest in T cell biology and immune regulation. The ideal candidate will have: • A PhD (or be close to completion) in immunology or a related biomedical field
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. Iain McCulloch and is funded by the EPSRC. Find out more about the research group at: About you Applicants must hold a PhD in Chemistry, Physics or a relevant subject area, (or be close to completion