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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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21 Feb 2026 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Engineering Physics Technology
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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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Description The postdoc will plan and conduct brain imaging studies on cue-reactivity, craving, and impulsivity in eating disorders, in the context of an IReSP funded research project. The postdoc will analyze
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systems and Python programming - Skills in data processing and image analysis - Oral and written communication skills, ability to facilitate collaboration at the interface between physics, mathematics, and
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: -Mastery of the principles of material and electronic component characterization (non-invasive methods, advanced imaging, thermal analysis, etc.). -Knowledge of aging and degradation mechanisms in electronic
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imaging techniques Skills in molecular and/or cellular biology appreciated Patch-clamp and electrophysiological analysis Cellular and synaptic imaging Molecular biology, genetic manipulation Transcriptomic
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on the effect of the language environment on auditory speech processing during early development. The postdoctoral researcher will actively participate in experimental design, data collection and analysis, and
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to develop a new generation of fluorescence microscopy methods aimed at overcoming current limitations in acquisition time for single-molecule imaging. The project explores original strategies for temporal