103 modelling-complexity-geocomputation Postdoctoral positions at University of Oxford
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aging and malignant transformation, taking the lead in developing novel mathematical models and statistical tools, to quantify clonal dynamics in aging and malignant human tissues. As a member of an
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of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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the commercialisation of all-solid-state batteries. Of particular interest is the development of electro-chemo-mechanical phase field models to predict void evolution and dendrite growth (see, e.g., doi.org/10.1016
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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity
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We are seeking to appoint a highly motivated Postdoctoral Research Assistant in Brain Health Modelling, to work within the recently established Podium Institute for Sports Medicine at the University
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and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project partners, you’ll turn these insights
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A postdoctoral research position is available in the area of computer modelling of new materials for next-generation photovoltaics within the group of Professor Saiful Islam in the Department
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) developing and applying advanced human iPSC-derived blood–brain barrier (BBB) models to evaluate next-generation CNS-targeted viral vectors. The successful candidate will use models to assess vector