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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled
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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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associated with this position aims to elucidate the mechanisms by which cells coordinate lipid fluxes to adapt to metabolic demands and environmental signals. Lipid metabolism is a highly dynamic process
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understood. We are seeking a PhD student candidate for the PatCorg ERC Synergy project, which aims to investigate how specific morphogens regulate the formation of signaling centers and the emergence
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The proposed PhD project is part of the PEPR FORESTT, a national interdisciplinary research program aimed at studying the socio-ecological transition of forest systems. The targeted MONITOR project within
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coupled neuronal and vascular dynamics of the human retina. Scientific Objective The goal of this PhD project is to develop new optical methods and advanced image-processing approaches to simultaneously
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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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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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of the project (https://anr.fr/projet-ANR-24-CE28-5107 ). Main Tasks • Development of a research axis: The recruited researcher will be responsible for leading the research axis focusing on the relationship
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of environmental seismology, an emerging field focused on interpreting seismic signals generated by surface processes. This interdisciplinary PhD project aims to integrate hydraulic measurements, physical models and