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provided by this digital biopsy, in preparation for the creation of a deeptech startup. He/She will play a key role in the scientific and translational validation phase, working at the interface between
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Additional Information Eligibility criteria ● A relevant PhD degree in semiconductor physics, material sciences, or similar. ● Hands-on experience with III-V semiconductor deposition processes (e.g. MOCVD, MBE
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Description The researcher will be responsible for developing and implementing a protocol aimed at studying motion processing and perception in both patients with macular degeneration and control participants
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mathematics. The skills expected for the position are: - excellent command of the theory of random processes, in particular measure-valued Markov processes; - good general knowledge of population dynamics
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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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explainable. Our team builds upon over 20 years of expertise in image processing algorithm research and more than 15 years of experience in developing open-source software for image processing and digital art
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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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” biodiversity data enabling the sustained flow of these and new data via primary integrators and EMODnet into the EU Digital Twin Ocean. It will create a digital replica of marine biological processes
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transmission electron microscopy. - Surface preparation and nanoparticles manipulation - in-situ Transmission Electron Microscopyy nanoindentations of HEA nanoparticles - Setting up an analysis procedure
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Digital Technologies, a joint project focused on sensor systems for movement analysis brings together the OASiS and SyEnsCES teams, located at the École Normale Supérieure de Rennes. Specifically, as part