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for therapeutic applications in hypoxic tumors, with the goal of improving the efficacy of radiotherapy. This interdisciplinary project is a collaboration between ISTCT/CNRS, expertise in imaging, radiotherapy, and
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. The institute offers a multidisciplinary environment that bridges fundamental discoveries with applied preclinical research. In partnership with IMATHERA (Preclinical Imaging and Radiotherapy Platform
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computational research. In particular: • A high-quality imaging platform • A dedicated biocomputing hub that guarantees reliable data storage, management, and advanced analytical capacity. Our laboratory is
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students, and postdoctoral fellows, and conducts research in the fields of energy (electrochemical storage, recycling, etc.), health (nanoparticles for imaging, etc.), and the environment (waste storage
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cellular biophysics -Backround in microfluidics -Background in image processing Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5588-CHAMIS-012/Default.aspx Work Location(s) Number
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. CEMHTI is a CNRS laboratory (approximately 100 people) and hosts an NMR platform with 6 spectrometers (from 200 to 850 MHz) and a variety of MAS probes (from 7 to 0.7 mm) or static probes for imaging
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linking in a multimodal framework, seeking to jointly exploit the visual and textual modalities present in texts accompanied by images and knowledge bases also enriched with images, in order to facilitate
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of front-end electronics and miniature RF antennas for chronic implantation. You will prototype and characterize the wireless link (power + sensing), design and optimize sensor-resonator coupling, and
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, including basic processing of photoemission data, as well as more advanced processing for HAXPES data or photoemission imaging. *Participate in measurements at large-scale facilities such as synchrotrons
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using the KM3NeT detectors • Data analysis from SVOM instruments as well as images from the COLIBRI telescope • Participation in KM3NeT shifts and service tasks (calibration, construction, processing), as