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23 Jan 2026 Job Information Organisation/Company European Synchrotron Radiation Facility Research Field Physics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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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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the mechanisms of neurovascular coupling (NVC) in the human retina — a key physiological process whose early dysfunction is linked to Alzheimer's disease. The team has developed a new cellular-resolution imaging
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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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lining of blood vessels— which plays a central role in the development of vascular diseases. Blood vessels further complicate this picture through their complex geometries, featuring diameter variations
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 6 hours ago
the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images. Remote Sensing of Environment 322, 114691. https://doi.org/10.1016/j.rse
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process in the touristic experience – “the creative turn of tourism”. Cultural tourism made not exception from this trend; moreover, the new paradigm of “cultural tourism” seems to become the result of a
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13 Jan 2026 Job Information Organisation/Company CNRS Research Field Biological sciences » Biology Neurosciences » Neurobiology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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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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-making processes to autonomous control and analytics. This PhD project aims to investigate and design novel abstractions, models, and algorithms that enable the superimposition of human-in-the-loop