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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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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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. On the EIC side, the successuful candidate will participate in the detector effort around the Roman pots. IJCLab is involved at various levels in the project, in design, cooling, and electronics testing
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- 4 Additional Information Eligibility criteria • Experience in computer modeling and programming • Knowledge of associative learning at both the neurobiological and psychological levels • Experience
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. The position is primarily based in the Electronics team of GREYC in Caen, France (20 permanent researcher and 3 permanent Engineers and Technician). The successful candidate will work within the functional oxide
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for homogeneous photocatalysis. Physico-chemical characterization Structural, optical, and electronic analysis of materials (spectroscopies, microscopies, electrochemistry, etc.) to establish structure–property
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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) - Manipulate magneto-optical cryostats, pulsed and continuous-wave lasers, ultrafast electro-optical modulation systems, as well as detectors and electronic cards allowing the analysis of multi-photon
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, electronic properties, and spectroscopic response. A major component of the project will focus on coupling DFT calculations with machine learning models to accelerate spectral prediction, identify robust
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of condensed matter physics. Research activity is organized around three main areas, each involving roughly the same number of scientists: • New electronic states of matter • Physical phenomena in reduced