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Field
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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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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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to identify, map, and measure in airborne and satellite images of the Earth, the natural and socio-environmental hazards and risks studied in IRIMA(earthquakes, tsunamis, volcanic eruptions, landslides
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neuronal types shapes sensory coding and circuit computation, with a strong emphasis on neocortical cell diversity and synaptic properties. We integrate detailed biophysical work with in vivo circuit-level
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methodology and instrumentation, as well as in the field of Biomedical Imaging applications. The laboratory has developed many interactions with research teams specialized in the fields of oncology, cardiology
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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dislocation dynamics (DDD) code from TRIDIS, NUMODIS, or OpenDIS, based on the candidate's programming skills (Fortran, C++, or C). - Validate the DDD-FFT coupling required to optimize calculations
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of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative
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of colorectal cancer (CRC) using organoid models. The researcher will focus on integrating dynamic mutations, live multiplexed transcriptomic imaging, and proteomic imaging at the cellular level to predict