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& Spectrochemistry Laboratory located in Caen (Normandy). The LCS has built its reputation on the preparation of porous materials, zeolites, operando spectroscopy and catalysis. By combining developed centres
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to develop an innovative individualized neurofeedback software suite for ADHD remediation, combining fMRI and EEG. The postdoctoral researcher will work closely with imaging engineers (CERMEP), ADHD clinical
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) at multiple microwave frequencies. This work will be complemented by the systematic quantitative analysis of experimental data through spectral simulation, in combination with the use of various substrates
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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electrogravimetric response. To do this, we will implement a multi-stage approach, combining the development of model electroactive materials, their physico-chemical characterisation, and the advanced exploitation
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architectures capable of combining data from morphological MRI (T1, T2, FLAIR) and MRS (metabolic spectra) for better tumor characterization. 2. Design predictive models of tumor growth over time, integrating
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aerosol properties by combining global satellite observations from DARDAR-Nice and EarthCARE with reanalysis aerosol products. Using Lagrangian transport modelling tools such as FLEXPART and CLaMS-Ice, the
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cataloguing of relevant case studies, combining satellite observations, reanalyses, and geostationary imagery to track the formation and evolution of cirrus under strongly perturbed conditions. Building
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to tissue scale”. In: Interface Focus 12.6 (2022), p. 20220038. doi: 10.1098/rsfs.2022.0038. Theoretical and computational aspects: In [3, 4], we introduced a morphogenetic action that combines the energetic
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exploited by HLA-Epicheck to measure structural similarity. The second option relies on learning a new latent structural representation of the surface of an HLA antigen by combining a variational autoencoder