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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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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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techniques to answer the biological question posed: - Immunostaining, FISH - Confocal and lightsheet imaging techniques - AAV manipulation of neural circuits and stereotaxic surgery - Cell culture - Animal
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a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation
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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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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project iMAGE aims to study the rise
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and its subcortical partners in exploration/exploitation behaviours. 1) Stereotaxy and implantation surgery (skull window, silicon probe, neuropixel) and viral infection. 2) Handling, habituation and
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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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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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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