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criteria The candidate should have: ● A PhD in biophysics, biology, physics, or a related field ● Experience in experimental biology (molecular biology, imaging, or genetics) ● Strong interest in
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pioneering method for obtaining the full conformational landscapes of biomolecular complexes at atomic scale from cryo electron microscopy (cryo-EM) images. It has been shown that MDSPACE analyzes
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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Paris to develop an optimised data processing pipeline for detecting and measuring very faint surface brightness in Euclid mission images. The following four areas will be explored: the properties
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FieldBiological sciences » Biological engineeringYears of Research Experience4 - 10 Additional Information Eligibility criteria Qualifications: PhD in microbiology, biochemistry or structural biology Postdoctoral
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part and lead interdisciplinary laboratory tasks including bacteria cultivation, microfluidic device preparation and experimentation, imaging and characterization of MICP mineral products. The project
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researcher will work under supervision of Aurélien MARTENS in the ILE group of Accelerator pole and in close collaboration with a PhD student at IJCLab, and external collaborators.. References: N.Yu. Muchnoi
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validated using high-throughput screening data, including microscopic images as well as genetic and proteomic expression data. This approach will then be applied to elucidate previously unknown gene functions
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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reaction. The researcher will: - Prepare Fischer-Tropsch catalysts; - Characterize catalysts using a combination of physicochemical methods (XRD, FTIR, TPR, XPS, imaging); - Conduct Fischer-Tropsch reactions