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. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 10 days ago
such as molecular biology, flow or spectral cytometry, immuno-histochemistry, inflammatory signaling pathways, cell culture, imaging, and multi-omics analysis. Knowledge of environmental exposures and their
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) Project description: The project aims to select and create plants with increased albedo, which is the ability to reflect sunlight. Hyperspectral imaging methods and plant genetic modification will be used
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interaction that affects HSC output in aging. This will be achieved via the implementation of state of the art multicolor flow cytometry analyses, imaging, omics techniques (e. g. single cell sequencing and
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amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system. Furthermore, we use the olfactory network as a model
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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different types of exercise limitations and muscle changes. Additionally, you will collect new data using non-invasive techniques like magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS
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the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with
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. Specifically, NIR sensors, hyperspectral imaging coupled with standard or macro lens, spatially resolved spectrometry, evolving plots, and FTIR will be used for the non-invasive characterisation of raw material
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the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying genotype–phenotype