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Field
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a home-build photoacoustic spectrometer (Lucas et al., 2022). To characterize the nanoscale temperature distribution, we propose to combine the pulsed excitation of photoacoustic imaging with a
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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exposure, and the cochlea will be examined with super-resolution imaging techniques that can visualise structures as small as 50 nm. This will reveal whether tip links are broken and how quickly
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://cordis.europa.eu/project/id/101257418 [4] European Journal of Nuclear Medicine and Molecular Imaging, vol. 35, pp. 1377-1387, ( 2008) Work Plan Following an in-depth literature review to understand the context
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microscope image analyses) 1.3 Quantification of horizontal transfer The project will be developed under the scientific direction of Olaya Rendueles (at CBI-Toulouse). It involves identifying and
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, based in Angers and Rennes (University of Angers, University of Rennes, INRAe, Biogenouest, France Life Imaging), offers cutting-edge biomedical imaging solutions. With four preclinical MRI systems (1.5T
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on fatigue management, maintaining daily activities, the role of leisure, and body image. Logbook system: Participants will be asked to document their experiences with changes (dietary and physical) over
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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(particularly Deep Learning), will also make it possible to leverage the collected data to enrich knowledge of ovine behavior. The candidate will join a dynamic research group within the Image/Vision team
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standard ML techniques do not perform well when applied to the urban environment (buildings create “no-data” gaps in the fields to be reconstructed; ML methods geared for image reconstructions can function