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candidate will have a strong background in biomedical imaging and/or neuroimaging, including domains of physiological/metabolic/molecular imaging, computational image processing, or imaging hardware and
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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and talented optics engineer to design, build, and implement novel optical devices for brain-wide imaging and neural circuit manipulation. Key Responsibilities: Develop advanced optical systems
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on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image reconstruction is formalized in mathematical terms as an inverse problem with
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to process and understand large experimental datasets (e.g., image processing) #analyzing experimental results; developing conceptual models and parameterizations #scientific publication and presentation
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Over the past 30 years, the Department of Imaging Neuroscience, home to the internationally renowned Functional Imaging Laboratory (FIL), has pioneered the development and application of imaging
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scientists in designing the whole data acquisition and processing pipeline, from experiment design to image acquisition and analysis. The ideal candidate will have a master’s degree in neuroscience, molecular
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical
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biology and BBB development. Conduct experiments in zebrafish and mouse models, including microinjections, live imaging, and behavioral studies. Apply molecular biology techniques including PCR, cloning
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experiments using magnetogenetics to selectively control neurons and astrocytes in Alzheimer’s disease models, in vitro and in vivo . Perform in vivo two-photon imaging, electrophysiology, and behavioral tests