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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Change Institute, School of Geography and the Environment, University of Oxford. The post holder will have responsibility for developing research on the ecology, climate change and remote sensing
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opportunities for people from a wide variety of backgrounds to benefit from the University’s rich and unique resources. We are ambitious and forward-thinking, with a strong sense of identity and community. Our
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communications effectiveness. Your work will help ensure that staff understand the purpose of the programme, feel equipped to engage with change and are kept informed of progress and milestones throughout
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forward-thinking, with a strong sense of identity and community. Our mission is to inspire people locally, nationally and globally by extending access to Oxford’s world-class teaching and resources through
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holder will use existing thermal remote sensing data, along with newly developed thermal models, to constrain the variability of Europa’s surface temperatures, properties and activity properties ahead
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rich and unique resources. We are ambitious and forward-thinking, with a strong sense of identity and community. Our mission is to inspire people locally, nationally and globally by extending access
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Department provides opportunities for people from a wide variety of backgrounds to benefit from the University’s rich and unique resources. We are ambitious and forward-thinking, with a strong sense of
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(LiB’s). You will be responsible for: • Developing models and simulations of the electrode fabrication process, sensors, and actuators. • Developing a demonstrator of a soft sensing system that
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(symbolic reasoning and planning). Recently the concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being
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concept of agents has come to the fore again, prompted by the rise of Large Language Models (LLMs) – put crudely, the idea is to use LLMs, in the sense of being powerful general purpose intelligent systems