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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky
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near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to [email protected] For more information about working at the Department, see www.eng.ox.ac.uk/about/work
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interdisciplinary research hub dedicated to the study of how machine learning and AI algorithms are transforming societies. LCAL pursues one of the most urgent questions for contemporary society: how do we wish
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genomics, population genetics, and machine learning. The successful candidate will contribute to method development, software dissemination, and scholarly publications. Duties and Responsibilities Lead
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further areas are also within scope, and we expect the candidate to contribute to at least one: 3D shape analysis and geometric machine learning. Learning on meshes, point clouds, and landmark
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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further develop research software, such as simulation environments, data pipelines and infrastructure, for the training and evaluation of machine learning models within distributed AI. Contribute to and
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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, GIS tools and quantitative/spatial approaches including machine learning to understand how wildlife species are reacting to climate change at continental or global scales. Specific project ideas could