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of the project is to develop a computational approach to reconstruct the structure and dynamics of a cellular process at nanometer resolution from tens of thousands of images measured in fixed cells. We will
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of reward and aversion processing. Studies will emphasize pharmacology, electrophysiology, in vivo imaging, intersectional genetic techniques, spatial transcriptomics, and genetically-encoded neuropeptide and
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algorithms for microscopy image analysis. Proficiency in computer programming languages. Knowledge of extended technologies in biomedical imaging. Practical experience in histopathology techniques. Extensive
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tailored to model brain activities in health and disease, using Generative AI approaches, processing of structural and functional MRI data, and compiling and organizing large brain imaging repositories
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reduce the complexity and cost of a custom microscope (Deguchi & Ries, bioRxiv 2023, https://doi.org/10.1101/2023.10.31.564945). In this project we will develop this idea into a prototype and then into a
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cell and spatial RNA sequencing technology. Suitable candidate will acquire in vivo imaging and image analysis skills, collaborate on interdisciplinary projects with international collaborators, present
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, in the Department of Radiology. The successful candidate will work to develop, validate, and translate cutting-edge diffusion MRI acquisition and analysis techniques for tissue microstructural imaging
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academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on
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in the application of machine learning methods, mixed models, clustering techniques, sinusoidal regression, and regression splines. Medical background and knowledge of biochemical processes is a plus
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precise details. Collects and compiles imaging data. Assists in day-to-day operation of running scientific research lab. Attends Lab Meetings, documents weekly data and monthly data. Performs independent