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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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rhizobia can fix up to 200 kg N per ha, as crops and for forage are potential ways to improve both N efficiency and the sustainability of agriculture. In this project we are engineering nif clusters
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contribute to cutting-edge research spanning fundamental T cell biology, cancer immunotherapy, and immune-based cancer prevention strategies. The postholder will investigate how cancer cells manipulate local
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biology or a related subject. You should have a competence in cell biology and basic molecular biology techniques. The ideal candidate should be organised, highly motivated and able to work independently as
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choice theory, or computational modelling. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor
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at the University of Oxford and work collaboratively with academic partners at Warwick, Berkeley, Potsdam, Groningen and beyond. This post is based at the Department of Computer Science and on-site working is
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Applications are invited for a Postdoctoral Research Assistant in Ion Trap Quantum Computing. The post is available initially for a fixed-term duration of 3 years, with the possibility of extension depending on funding. The Oxford Ion Trap Quantum Computing group currently hosts one of the...
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180266 – Postdoctoral Research Assistant Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 7: Salary in the range of £38,674-£39,749 per annum This is a
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should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with biological...