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the nature of the ambient noise in the reactor (spectrum, spatial and temporal distributions, levels), the approach consists in developing passive methods by determining their conditions of use but not
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the occurrence of persistent physical symptoms in adulthood, but this association remains poorly understood. Beyond factors specific to certain biomedical conditions, dysregulation of the stress response system
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resolution Utilize cutting-edge techniques including microelectrode arrays, microfluidics, animal behavior and spatial transcriptomics under infectious conditions Bridge hamster and human biology to find common
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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des Fluides et d'Acoustique - LMFA) develops a continuum of research in fluid mechanics and acoustics, from the understanding and the modelling of physical phenomena to applied research, in
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/genomic data with biogeochemical measurements, biogeographic, phylogenomic, comparative, time series (community or population) modelling/analyses. Demonstrated skills in bioinformatic and statistical
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, fisheries, physics, chemistry, biogeochemistry and marine sedimentology. Its frameworks are the world ocean, its interfaces with the continent, the atmosphere and the sediment. The MIO has more than 250
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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analyzing whole organism models (zebrafish and mouse) to dissect the pathophysiology of a recently identified rare pediatric neurometabolic disorder. The approach involves mainly deep longitudinal phenotyping