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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
the underlying drivers and barriers that influence stakeholder behaviour and attitudes to return, reuse and remanufacturing of injection devices. 3. Co-designing solutions for the return, reuse and
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. Find out more about the Lanyon-Hogg group’s research at: https://www.pharm.ox.ac.uk/research/lanyon-hogg-group You should have: Experience in design, synthesis, characterisation of small molecule
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well as in understanding and leveraging internal representations in deep-learning models, and in dataset design and curation for embodied tasks. You have a solid publication record, are conversant with
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outcomes-based finance such as impact bonds, carbon–biodiversity credits, blended finance structures, and the design of decision-support tools for conservation investment. You will collaborate with
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informing the development of more precise immunotherapies. The successful candidate will: • Design and carry out in vivo experiments in preclinical mouse models of autoimmunity • Perform
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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AI technologies that will revolutionize how we understand and respond to human behaviour in both real-time and long-term contexts. You will play a crucial role in the testing and design of novel
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. You will play an important role in the contribution in understanding ways to rejuvenate the thymus and thus the adaptive immune system in health and disease. You will be responsible for co-designing and
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design and have the opportunity to demonstrate its performance by studying key catalytic reactions important to the energy transition. Previous experience of adapting/developing vacuum instrumentation and
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, as the “brains” of an agent. We aim to revisit the question of agent design, where LLMs provide NLP interfaces and reasoning capabilities for agents. Our work will be informed by four decades of agent