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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 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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simulation to prototype development, testing and qualification. Facilities include: Drone hangar and operations centre with direct runway access; Technical laboratories; Indoor and outdoor flight test arenas
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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, imaging and diagnostic). However, there is currently no generic, metrology-grounded AI/ML framework that fuses these heterogeneous data with physics-based models to create trustworthy, asset-specific
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Resilience Institute. We seek a talented and highly organized scientist to support and advance multiple collaborative projects that integrate high-throughput phenotyping, advanced imaging, quantitative
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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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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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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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dynamics and biomolecular condensates contribute to PD co-pathologies in human midbrain assembloid models. The work combines advanced imaging, molecular biology, and functional disease modeling. Key