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-term epigenetic reprogramming in microglial cells, and microglia–T cell interactions. Using state-of-the-art approaches including single-cell and spatial transcriptomics, functional imaging, and
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-IMPRS Graduate programCountryGermanyCityMuensterPostal Code48149Geofield Contact City Muenster Website http://www.cim-imprs.de Street Schlossplatz 5 Postal Code 48149 STATUS: EXPIRED X (formerly Twitter
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 7 days ago
innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz
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Contact City Brussels Website http://www.vub.ac.be/ Postal Code 1050 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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and research, in and outside academia. You will be joining the Colourlab , an exciting research environment for colour and spectral imaging, at NTNU in Gjøvik, Norway. You will also be a member of the
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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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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
/Province Rhône-Alpes City Grenoble Website http://www.esrf.eu/ Street 71, avenue des Martyrs Postal Code 38000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 5 days ago
available1Company/InstituteInriaCountryFranceCityPalaiseauGeofield Contact City LE CHESNAY CEDEX Website http://www.inria.fr Street Domaine de Voluceau - Rocquencourt Postal Code 78153 STATUS: EXPIRED X (formerly
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on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A., Yang, Z., Guilbert, T., Fouassier, L., Carn, F
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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