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, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning
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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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imaging facilities, such as one research-dedicated 3T scanner, MEG/EEG, TEP, TMS/tDCS and other useful resources. For more information, see: https://dreherteam.wixsite.com/neuroeconomics Where to apply
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flux and the newly developed pixels detectors are opening new opportunities to investigate dynamics extending from sub-μs to thousands of second time scales. Nanoscale (~10 nm) imaging experiments
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measurements, identification and quantification of microstructural defects by optical confocal microscopy, fluorescence imaging, etc.). The elaboration processes that will be used are based on the formulation
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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier). The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics, statistics
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teaching, at the service of the patient. It aims to better understand and treat electrical dysfunctions of the heart that are the cause of many cardiovascular diseases representing nearly a third of deaths
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microtubule nucleation is regulated in the context of neuronal development within Drosophila. The recruited postdoctoral fellow will use powerful genetics and advanced cell imaging of neurons in situ
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Zeeman states of the molecular tip. As part of the project, they will be responsible for creating, imaging, and manipulating magnetic nano-skyrmions in ultrathin iron films grown on Ir(111), and for