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sufficient to modulate interaction phenomena. This will make it possible to discriminate between hydromechanical and chemomechanical couplings. Finally, the combination of multimodal imaging techniques during
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BioNanoImaging Foundry (BNIF, Building 50, Triolet campus). The BNIF is a cutting-edge technological environment dedicated to multimodal imaging, equipped with high-field MRI scanners (9.4 T, 3 T horizontal
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culture and maintenance of various cell lines Quantitative PCR (qPCR) Flow cytometry for cellular phenotyping and analysis Confocal microscopy for high-resolution imaging ELISA (Enzyme-Linked Immunosorbent
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thermochemical reactor process for heat storage, characterizing its behaviour and thermal performance. Post-doc Objectives: A prototype, representative in scale of the final system (several kW and several kWh
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at international conferences. Development and optimization of experimental protocols: stereotactic injections, optogenetics, chemogenetics, in vivo imaging (fiber photometry, calcium imaging). • Development and
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historical data. You will evaluate the performance of these models on real industrial cases in order to propose a demonstrator or prototype that can be used in production. Where to apply Website https
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multitechnique approach, using ion beam imaging/spectroscopy, for example. In this context, the postdoctoral associate will be in charge of developing an operando/in situ cell compatible with ion beam analysis
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 28 days ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral
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present on expedient osseous tools. This methodological breakthrough relies on discriminant analysis of surface textural data (ISO 25178 and SSFA) acquired by confocal microscopy combined with image
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The IMMENSE project is funded by the University of Lille, France. Our overarching goal is to image