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aims to develop physics-informed artificial intelligence tools for single-molecule fluorescence microscopy. The PhD student will focus on designing AI-based methods for quantitative analysis of protein
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of the successful applicant include: Laboratory experience in molecular cloning, plant transformation (Nicotiana benthamiana or N. tabacum), mammalian cell culture and transfection, confocal microscopy, protein
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(electron microscopy e.g. EPMA, SEM, and X-ray methods e.g. µCT, XRD) Preparing and evaluating solution analyses using ICP MS/OES Publishing and presenting research results at national and international
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, microscopy, electrophysiology, computational neuroscience... As both a PhD and a Marie Sklodowska-Curie fellow, you will benefit from: - Research projects in Bordeaux Neurocampus laboratories covering a wide
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to state of the art Kerr microscopy. You will adapt existing models of skyrmion motion to the physics of magnetostriction to find the optimum coupling conditions between skyrmion and strain waves, or use
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, immunology and, ideally, neuroscience. The candidate must have excellent technical skills in cell and molecular biology, microscopy, flow cytometry, and have experience of working with murine models
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biology, immunology and, ideally, neuroscience. The candidate must have excellent technical skills in cell and molecular biology, microscopy, flow cytometry, and have experience of working with murine
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition
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related to staff position within a Research Infrastructure? No Offer Description The offered position entails the following tasks: Development of fluorescence microscopy techniques for intracellular
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publication(s) in relevant peer reviewed journals. (E) Expert in use of scanning electron microscopy (SEM) and electron back scattered diffraction (EBSD). (E) Experience in communicating with multiple parties