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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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applications for a research grant within the framework of project “ST-e.Biofilm – Development of spatial transcriptomic for the characterization of engineered biofilms”, with operation code, at the Funds
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advanced human and mouse pre-clinical models of HCC, alongside cutting-edge spatial and single-cell technologies, to define how CAFs shape the tumour microenvironment and to identify novel therapeutic
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classes in the fields of architecture and spatial planning; Collaborating with external entities in the field of research; Publishing research results and participating in scientific conferences; Supporting
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, firmware) through to data storage, modeling, and visualization. On-going work focuses on the application of novel spatial machine learning and artificial intelligence models in real-time to support decision
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at necropsy by fixing and isolating cells for functional and flow cytometric analysis, IHC, and spatial transcriptomic studies. Document experimental data, perform data analysis, and contribute
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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experience in computational systems modeling, simulation, and analytics. Experience with analyzing multi-omics data (e.g., single cell and/or spatial transcriptomics, metabolomics, etc), computational biology
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Brillouin); (2) to extend this analysis to an inhomogeneous geometry representative of direct drive con-ditions, in 2D or 3D geometry, and taking into account the spatial structure of the beam (speckle
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distribution de taille induites par l'écoulement. Les techniques d'IRM permettront notamment d'accéder de manière non invasive aux champs de vitesse, aux profils de concentration et à la répartition spatiale des