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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information
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model and data biases; (2) build and evaluate XAI tools for external auditing and red-teaming; (3) generate predictive explanations without accessing model internal; (4) providing insight into model
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spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You will analyse quantitative imaging data from a variety of sources
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) together with relevant experience; Informal enquiries may be addressed to Prof Antonio Elia Forte (email: @eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work
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We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new
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. Preliminary data from the lab have shown that germ-free mice have an impaired olfactory function when compared to conventionally reared specific-pathogen free mice, particularly with regard to pheromone sensing
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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one
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About the role This Research Assistant post will support data collection and analysis on a longitudinal study of children’s pathways through the healthcare system. We are looking to recruit a
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tissues. The data generated from this proof-of-concept project will be used to support follow-on research and translational grants. To ensure clinical relevance, you will also collaborate with patients