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information on its udder health and metabolic and nutritional status. In this project, an optical sensor prototype will be designed and built based on miniature spectrometers with the aim to measure milk
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Traitement du Signal et des Images, 2023. Douté, S., Forbes, F., Borkowski, S., Meyer, L., Heidmann, S., 2024. Massive analysis of multi-angular images by inverse regression of reflectance models
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mission and/or the Sunrise III stratospheric balloon, with the possibility of combining these data with other space missions and ground-based observations. • Analysis of images, spectra, and polarization
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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imaging, laser-Doppler imaging, transcranial Doppler ultrasonography, collecting/handling blood samples, and ex-vivo/in-vitro analysis of serum, plasma and monocytes. Good Clinical Practice certificate and
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of optical diagnostics, such as: Near and far field high-speed microscopic imaging. Chemiluminescence-based techniques. Schlieren imaging and shadowgraphy. These tools will be used to obtain high-resolution
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, purification and reconstitution Targeted mutagenesis and protein structure analysis Biochemical characterization of ATPase and phosphorylation activity Cellular imaging/staining (fluorescence and electron
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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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sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Cardiovascular Magnetic Resonance (CMR) plays a central role in the non-invasive