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Field
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discovery of a new family of superionic lithium ion conductor (*Science*, **2024**, *383*, 739). You will work within a highly collaborative, interdisciplinary environment that brings together expertise in
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the environment. Classical thermodynamics has been established since the 19th century, while quantum thermodynamics is now a blossoming new field which could advance energy harvesting, the design of efficient
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generally. We tackle problems in single and multi-agent systems operating in uncertain environments and around humans. We typically work with Markov decision processes (MDPs), and are interested in both
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inclusive environment, fostering the academic freedom and confidence to work at both the core and boundaries of anthropology in exciting and innovative ways. The assessment of our work in REF 2021 attests
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in the laboratory environment. How to apply The University of Oxford is committed to equal opportunity, and to being a place where everyone belongs and is supported to succeed. We recognise how
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cutting edge research in a fast-paced and intellectually stimulating environment. The role requires a relevant PhD (DPhil), excellent communication skills and a desire to take this technology to the next
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of adapting to dynamic environments. The research work focuses on understanding and addressing the challenge of evolving real-world data over time and open-end learning in the context of self-adaptive and self
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analysis techniques within a highly collaborative research environment. It also includes opportunities for research and career development training, opportunities to participate in project specific meetings
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cleanroom environments will be expected. You will possess strong analytical and problem-solving skills, with the ability to work effectively within multidisciplinary teams. Experience with low-loss dielectric
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global