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Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
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project on the release of hormones, neuropeptides, and neurotransmitters by exocytosis, which is mediated by a vesicular fusion process whose mechanisms are well established. However, the mechanisms
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are looking for a postdoctoral researcher in the field of image generation algorithms (specializing in Deep Learning) for a 12-month position. The work will take place within the IMAGE research team
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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in
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, computer vision specialists, and digital humanities engineers, both at the Paris Observatory and at other partner institutions. One of EIDA's core research areas concerns the plural definition of image
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to work on a colloidal model system. The postdoctoral position, funded by an ANR grant (DiViNew), is open at the Gulliver laboratory (ESPCI Paris, PSL Research University). The project aims at developing a
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FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria - stereotactic surgery in rodents - two-photon imaging - analysis using Python and MatLab - scientific writing
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the