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cell signalling pathways and demonstrate experience in integrating computational and experimental approaches to address key biological questions. Experience in supervising junior researchers and
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the Department of Engineering Science’s Student Administration Team with a strong link to the Oxford Robotics Institute’s (ORI) Administration team. You will lead and manage the set up and academic administrative
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new collaborations within the centre. You must hold a PhD (or near completion) in statistical genetics, functional genomics, computational biology, or a related field together with proficiency in
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Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject. You will have expertise in making sense of microbial genetics. Proficiency in a high-level programming language is
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discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface
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the supervision of the Senior Academic Administration Officer. In addition, you will support the NDCN Academic Administration team with the Year 5 undergraduate programme when required. You will also carry out
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applications. Applications are sought from across a diverse set of disciplines under the Information Engineering umbrella, including, for example, physics-informed machine learning and AI, computer vision
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The Mobile Robotics Group (MRG) at the Oxford Robotics Institute (ORI) in the Department of Engineering Science at the University of Oxford is seeking exceptional candidates for a full-time
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About the role Are you a natural problem-solver with a passion for making things work better? The Department of Chemistry at the University of Oxford is looking for an experienced and collaborative
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researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical