162 web-programmer-developer Postdoctoral positions at University of Oxford in United Kingdom
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hold, or be close to completion of a DPhil/PhD in wearable sensors or a closely related field and possess sufficient specialist knowledge in the discipline to work within established research programmes
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Integrating and Predicting Responses of Natural Systems to Disturbances . About you The successful candidate will develop and test new theoretical and computational frameworks linking population and community
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About the role We are seeking a highly motivated and ambitious Postdoctoral Researcher. This position focuses on developing innovative cancer treatments, particularly within the field of antibody
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funded by UKRI and is fixed-term to 31 December 2026. This is an on-site position only. The project aims to develop a computational model for biodegradable polymers degrading in water under mechanical
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in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and
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of Materials at the University of Oxford. This position is part of an EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation Photovoltaics.” This collaborative project between
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of immunity and genome stability. The post-holder will be responsible for managing their own academic research, adapting existing and developing new scientific techniques and experimental protocols. You will
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. The post-holder will be responsible for managing their own academic research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision
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-year, renewable, high-profile research initiative funded by the European Commission, bringing together leading research teams from across the Eurozone to develop state-of-the-art multimodal LLMs. This is
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” and “wet” lab workflows). You will be able to Design, develop and implement algorithms and systems based on foundation models, large language models and/or AI agents for automated scientific discovery