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isotope labelling, extraction, profiling and data analysis. The second part of the project, in close collaboration with Ifremer Nantes, will explore the chemical mediation between the dinoflagellate and
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in advancing the clinical and commercial translation of a cutting-edge multimodal endoscopic platform. As part of the Label-free Bioimaging Laboratory, the successful candidate will contribute high
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questions in the areas of self-supervised/label-efficient learning and explainability of deep neural networks (XAI) are being developed, particularly for use in biomedical applications. Further information
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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-molecule TIRF microscopy, biochemical reconstitution, and fluorescent labeling, we will watch individual RNA molecules and degradosome complexes at work, capturing millisecond-scale dynamics that shape gene
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aims to push the limits of label-free mass measurement of biomolecules in solution by integrating advanced optical techniques with state-of-the-art data analysis. Building on recent developments in mass
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highly multidisciplinary environment that spans fundamental discovery through to patient care. Our researchers benefit from outstanding core facilities, including state-of-the-art label-free bioimaging
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(based on biomaterials and living cells), including their efficient deployment on embedded hardware, as well as the design and management of the supporting data pipeline. You will be part of
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, continuing the work carried out by the team on the synthesis of labeled organic molecules (arenes, alkanes, ethers).[1-6] 1. Lassalle, S.; Jabbour, R.; Schiltz, P.; Berruyer, P.; Todorova, T. K.; Veyre, L
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spectroscopies, XPS, XRD, BET, etc.). Utilize isotope labeling to elucidate reaction mechanisms. Collaborate with computational chemists to elucidate reaction mechanisms. Your postdoc work will be crucial