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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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photonic imaging and patch-clamp electrophysiology. The postdoctoral fellow will contribute in particular to different aspects: - in vivo calcium imaging (ex vivo imaging approaches and patch-clamp
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24 Apr 2026 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Mathematics History » History
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progress in the past few years. In these devices, the elementary information is stored as a coherent superposition of the spin states of an electron in a Si/SiGe heterostructure, or of a hole in a Ge/SiGe
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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. Indeed, the methods currently used rely on optical image databases of various avalanche observations. A deep neural network was trained on this data to enable automatic avalanche detection FIGURE 1 (a) [1
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plasma-assisted CVD techniques; - Knowledge of characterization techniques: Raman spectroscopy, scanning electron microscopy, atomic force microscopy, X-ray diffraction, etc.; - Knowledge of vacuum
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the existing work, data, and in-situ measurements at the sites instrumented by ISTerre and EDYTEM in the Aiguilles Rouges and Mont Blanc massifs. He/she will compile the archive of Sentinel-1 SAR images used
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addressing prototype and its integration into existing robotic structures developed at LIRMM (Montpellier – France); realization of a compact soft robotic prototype. - Control Development of sequential control
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Paris to develop an optimised data processing pipeline for detecting and measuring very faint surface brightness in Euclid mission images. The following four areas will be explored: the properties