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Field
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Eligibility criteria - physics with knowledge in optics - knowledge in microscopy - knowledge in single-molecule imaging (acquisition and processing) - knowledge in photophysics - knowledge in cell culture
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in new mouse models with lymphatic endothelial cell (LEC)-selective deletion of target genes using tissue clearing and confocal and light sheet microscopy with help from technical staff at the imaging
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Description Within the ANR HEBBIAN contract, the objective is to adapt bio-inspired Hebbian learning models recently proposed by one of the partners of this ANR (Frédéric Lavigne) in order to account for data
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learning [3,4]. Indeed, the sensors can be represented as a graph, where each node corresponds to a sensor and the edges represent the relationships between the sensors. These relationships can be spatial
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fluids requires transdisciplinary approaches (physics, engineering, cell and molecular biology, immunology, etc.) extending all the way to clinical practice, as well as dedicated technical and analytical
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of structure, dynamics and function. The groups use approaches from cell biology and biochemistry in combination with structural biology. The MMSB hosts 11 different research groups, totalling more than 90
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the cell components (Membrane Electrode Assembly, Diffusion Layer included) will be analyzed, characterized and validated. We will primarily track delaminations (micrometric) between the different components
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, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
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, cell culture, purification of primary cells, etc… Experience in in-vivo animal models of disease and/or transgenic/KO related work Excellent communication and organizational skills - ability
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the influence of the trap's lateral position on the corresponding RTN amplitude in both weak and strong inversion modes, with a contribution from both carrier number and mobility fluctuations, in conjunction with