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appropriate. These tools will be used to reconstruct how sediment production and delivery to river networks have changed since 1950 in response to human activities such as deforestation. The successful
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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HIBEAM/NNBAR at ESS and – most relevant for this project – LDMX at SLAC (https://confluence.slac.stanford.edu/display/MME/Light+Dark+Matter+Experiment ). We exploit synergies across these projects, and our
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Materials, Electronics and Communications) and eight Research Nodes which group staff under technical expertise and interest (see https://www.durham.ac.uk/departments/academic/engineering/research/ ). We
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ultrasound–optical imaging, contrast agent design, and computational reconstruction, with applications in deep-tissue imaging, tumor microenvironment characterization, and functional sensing. This position
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sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim to revolutionize the research field