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and PRT potentiation for translation into first-in-human clinical studies. Funding category: Financement public/privé Fondation ARC PHD title: Pharmacology, preclinical imaging PHD Country: France Where
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You will: Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1 Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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Eligibility criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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21 Feb 2026 Job Information Organisation/Company CNRS Department Génétique et biologie du développement Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1) Application Deadline 13 Mar 2026 - 23:59 (UTC) Country France Type of...
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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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Additional Information Eligibility criteria According to French legislation, the applicant must have received a PhD degree no later than three years before the beginning of the contract Selection process CV
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Description We are recruiting a contract researcher to join a project involving the development of predictive models for simulating material forming processes, within the mechanical engineering department
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation