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- l'institut du thorax, INSERM, CNRS, Nantes Université
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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) the creation of new-based DNA nanostructures as a molecular template to hold proteins to facilitate molecular imaging by single-particle Cryo-Electron Microscopy (Cryo-EM); and (2) the development of DNA-based
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characterization of the obtained optical fibers (loss, bend sensitivity, modal quality, polarization, etc.). - Geometric measurements of fibers (surface roughness, transverse profile, SEM imaging, etc
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 29 days ago
with a possible extension) on medical Imaging and Artificial Intelligence. Main Activities • Propose methods for intracranial aneurysms detection and vascular tree characterization (based on Deep
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environment, with a wide range of instruments suitable for multidisciplinary research, from cellular and preclinical imaging to crystallography. This project will be carried out under the scientific guidance
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independently the sample and each laser. The LOMA laboratory at the University of Bordeaux specialises in ultra-fast energy transfer imaging and is currently the most advanced laboratory in the field
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Information Eligibility criteria The candidate should hold a PhD in Molecular Microbiology. - Imaging of bacterial cells (phase contrast microscopy, epifluorescence, TIRF, FRAP, transmission and scanning
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electromagnetic cascade to be obtained. The initial results obtained with a small prototype subjected to cosmic rays and particle test beams at CERN are promising. They show that a stochastic sampling term of order
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-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity
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present on expedient osseous tools. This methodological breakthrough relies on discriminant analysis of surface textural data (ISO 25178 and SSFA) acquired by confocal microscopy combined with image