214 parallel-computing-numerical-methods research jobs at University of Oxford in United Kingdom
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the University of Oxford’s Department of Education, is expanding with two exciting opportunities which will help the Centre step up its programme of academic research. The Centre produces research and evidence
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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
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Programme Manager, using the contact details below. Only online applications received before 12.00 midday on 29th August will be considered. Interviews will be held as soon as possible thereafter
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
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development (ECD) and raise global visibility of climate impacts on ECD. The post holder will be a member of Climate Research Programme at ECI in SoGE, reporting to Dr Neven Fučkar, Senior Researcher, and there
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with expertise in obstetrics/obstetric medicine to play a senior role in delivering this highly clinically important research programme. The role will give you wide exposure to different research
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of recombinant proteins as well as biochemical and biophysical characterisation methods are essential. You will possess sufficient knowledge and experience in mammalian cell culture and associated cell-based
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. You will be responsible
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance