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risks, lithosphere dynamics, Earth imaging, geodesy-metrology of the Earth and the nearby Universe. It comprises around 200 people (researchers, engineers, doctoral students, etc.). It is spread over two
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proposed research field (e.g. Environmental Sciences, Applied Mathematics, or Statistics). Good working skills on either image analysis, advanced data processing (e.g. neural network, clustering
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of manufacturing - characterise the sensitivity of these sensors and test their operation on an all-optical photoacoustic imaging system The postdoctoral fellowship will be carried out at the Fresnel Institute
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, segmentation of ultrasound images, identification of intraplaque hemorrhage on MRIs, post-processing by ultrasound spectroscopy and imaging by ultrasound localization. You will join a dynamic team specialized in
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neuronal activity, optogenetics, chemogenetics, and viral engineering for in vitro circuit mapping and in vivo behavioral manipulation, as well as machine learning and computer vision for behavioral analysis
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in medical image processing, in particular MRI - Knowledge of MR spectroscopy (or a strong desire to learn it quickly). - Expertise of artificial intelligence techniques and deep learning - Proficiency
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movements by correlating Planetscope satellite images: testing, validation, and development of specific processing methods. This postdoctoral position is funded by the Labcom project. Catastrophic ground
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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. (An engineer could be recruited to assist with the analysis of thermal images.) The project will be carried out within the “Processus Langagiers & Cognitifs ” team at the CLLE (Cognition, Langues, Langage
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wide spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology