106 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions at CNRS
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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motivated Postdoctoral Researcher to join our team for a 18 months position based at Femto-ST in Besançon. This role offers a unique opportunity to contribute to pioneering research and development in
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activities of the PHABIO group focus on developing models and acquiring biological
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), consisting of the partial destruction of chromosomes in their soma during development. Although described as early as 1887, PDE has remained mysterious due to the limitations of model systems and sequencing
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the group of Jesus Zuniga-Perez (CRHEA, Université Côte d'Azur-CNRS), as part of the ANR project SPOIR. The postdoc will be in charge of developing the epitaxial growth of halide perovskites by molecular beam
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model, they will quantify the atmospheric lifecycle and global impacts of microplastics. - Run and use the GEOS-Chem global model using a specific verion developed with the lifecycle atmospheric
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obtained by MOCVD deposition. A PhD student at LMGP is currently developing and optimizing the operating conditions to control nanowire geometry, network density and connectivity, and coverage. The recruited
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developed within the project. - Assure the methodological and scientific coherence between the two center of the Synergy project. - Co-supervision of the PhD students and lab-development co-coordination
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far from straightforward. In particular, estimates of transfer rates based on documented cases are both biased and approximate. This project aims to develop explicit phylogenetic models of TE evolution