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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 3 days ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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regular meetings with the research group. Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data
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Engineering, Computer Science, or a related field. Proven experience working with LiDAR sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision, or
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an international and diverse scientific community. Its primary goal is to democratize genomics research on the African continent, encompassing both fundamental and applied scientific investigations in agriculture
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remaining embedded within our vibrant research community. Fellowship Details Duration: 6 months (November 2025 - April 2026) Appointment Level: Post Doctoral Research Assistant (PDRA) Important: You must
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-based artificial intelligence (AI) methods for detecting clinical worsening in mental illness. A preference will be given to those with demonstrated research interests in speech and / or neurotechnologies
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based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research group: The Centre for Elderly and Nursing Home Medicine (SEFAS), which has
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for the sole purpose of the current call, namely to be contacted directly by CES services and allow the communication of results as in point n. of this call. CES abides by the principles of GPDR. Contact
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success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors
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and qualified Research Fellow to join our research team on the project titled “Development of 3D Vegetation Quality and Intensity Indices”. This project specifically looks at the processing and