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preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis
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investigate the molecular mechanisms that underlie the regenerative capacity of injured neurons. Our research focuses on gene regulation processes, particularly the translational control of mRNAs into proteins
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Description Job Responsibilities: -Conducts research activities on insect midgut biology in arthropod systems in contained laboratory environment. -Design and perform proteomic, transcriptomic, imaging and
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cell implantation and in utero electroporation), cell migration studies using time-lapse imaging in brain slices and modeling, whole-tissue clearing, and advanced 3D analysis, the following gross salary
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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Framework Programme? Horizon Europe - EIC Reference Number 101046835 Is the Job related to staff position within a Research Infrastructure? No Offer Description Participation in Thermodust project “A paradigm
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understanding/knowledge of antiviral/antitumor signaling (e.g., cGAS-STING) · Prior experience with adipocyte culture · Prior experience with advanced cellular imaging techniques, including live
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to extracellular matrix, macrophages · Prior experience with: o Advanced cellular imaging techniques, including live-cell imaging o Coding/bioinformatics analyses o 3D and/or organoid models o
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: Familiarity with optical design, image processing, or instrument prototyping. Programming skills in MATLAB, Python, or LabVIEW
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning