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interacts with the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging
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biology and is resolutely interdisciplinary, integrating approaches in (bio)informatics, (bio)physics, and (bio)mathematics. The “genome mechanics” team is interested in the process of DNA break repair by
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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. This will be made on different Cu-FR4-Cu laminate test-structures with a FR4 thickness ranging between 35 to 100 μm. A preliminary assembly process optimization will be performed (e.g., temperature
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of proteins by applying a simple electrical potential in solution. This electro-bioconjugation reaction occurs within minutes, providing a fast and biocompatible process for the functionalization of viral
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conjugates into fluorescent nanostructures, which growth results from a combination of dynamic covalent and supramolecular processes, moving from solution studies to model lipid membranes, then live cells
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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system
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cellular biophysics -Backround in microfluidics -Background in image processing Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5588-CHAMIS-012/Default.aspx Work Location(s) Number
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criteria Level I animal experimentation, expertise in animal surgery, skills in pharmacokinetic analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7275-HELMAR-006/Default.aspx
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in