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Field
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degree with clinical experience in clinical imaging A doctorate (MD or PhD) in a relevant scientific discipline Field experience in radiographers' education, including theoretical teaching and supervision
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radiologist degree with clinical experience in clinical imaging A doctorate (PhD) in a related scientific discipline Field experience in radiographers' education, including theoretical teaching and supervision
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radiologist degree with clinical experience in clinical imaging A doctorate (PhD) in a related scientific discipline Field experience in radiographers' education, including theoretical teaching and supervision
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research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a
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-processing, the problems of aberrations and reverberations that generally pollute ultrasonic imaging (Bureau, 2003). Marine acoustic imagery is often faced with more deterministic multi-layer environments
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This particular PhD thesis will be focused on identifying imaging signature and neurotransmitter dynamics of neuromodulatory interventions in chronic pain. Chronic pain affects approximately one in five individuals
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: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG
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CNRS (Centre national de la Recherche Scientifique) | Marseille, Provence Alpes Cote d Azur | France | about 2 months ago
of this PhD project is to expand polarized imaging to the investigation of the translational and rotational dynamics of single emitters in constraint environments, based on polarization control in a microscope
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enabling imaging at the patient's bedside. The project is highly interdisciplinary, combining expertise in medical imaging, image processing, AI and neuroscience. It targets perinatal neuroimaging, in
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of mathematical modeling of images, computer vision, artificial intelligence and computer graphics. Exceptional candidates in the fields of visual computing in a broad sense (image processing and analysis, computer