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neuroscience of object perception in social contexts to complete and publish state-of-the-art research in this domain. Experiments include methods like functional magnetic resonance imaging
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scientists dedicated to advancing medical imaging research. The primary focus of our group’s endeavors is quantitative image analysis and artificial intelligence (AI), with a specific emphasis on pioneering AI
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. Embedded within a multidisciplinary team of computer scientists, clinicians, and imaging specialists, the postholder will help integrate multimodal data into robust tools that improve patient selection
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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Desirable criteria Experience with advanced fluorescence microscopy (e.g. live-cell imaging, FLIM
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PhD (or equivalent experience) in evolutionary developmental biology along with experience of developmental and molecular biology techniques, including imaging and gene expression analysis. A proven
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methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based methods. As part of a
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candidate will have a strong background in biomedical imaging and/or neuroimaging, including domains of physiological/metabolic/molecular imaging, computational image processing, or imaging hardware and
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large image datasets (e.g. from manufacturing, remote sensing, or media) Desirable Application/Interview Experience working with research ethics applications, data governance processes, or contributing
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This three-year international PhD, funded by a CNRS MITI (Mission pour les Initiatives Transverses et Interdisciplinaires) doctoral contract, is conducted in co-tutelle (double degree) between the University