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drug development and evaluation. The successful applicant will be required to work primarily on in vitro and ex vivo screening of drug candidates. The work will be conducted at the Peter Medawar Building
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deep exploration of cancer precursors (precancers) to identify their molecular vulnerabilities and developing methods to intercept them. The alliance is led by Professor Sarah Blagden. You will be
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the aim of conducting deep exploration of cancer precursors (precancers) to identify their molecular vulnerabilities and developing methods to intercept them. The alliance is directed by Professor Sarah
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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Security and Net Zero. UPLiFT’s goal is to develop key science and technologies which will be required to realise power generation via laser inertial fusion; Inertial Fusion Energy (IFE). The successful
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. The scale of these assays will be large, and this post will require excellent organization and planning skills. Previous experience with qPCR , flow cytometry and experimental evolution would also be
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of Engineering Science (Headington). The post is funded by UKRI and is fixed-term for up to 24 months. The researcher will work with Professor Christopher Proctor to develop prototype bioelectronic technologies
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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interaction, safe exploration, long-term monitoring). You will be responsible for developing new techniques for single- or multi-agent decision-making under uncertainty in the context of autonomous systems
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion