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. Proficiency with computer programs – specifically MS Office Suites. Desirable Qualifications: Experience with electrophysiology and/or two-photon or fluorescent imaging. Experience with programming (Matlab and
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intelligence) to achieve a breakthrough in microstructure imaging with MRI. Position You will focus on the acquisition, processing, curation, and modeling of quantitative MRI data of healthy human brains and
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intelligence) to achieve a breakthrough in microstructure imaging with MRI. You will focus on the acquisition, processing, curation, and modeling of quantitative MRI data of healthy mice and mice models
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-driven approach to microstructure imaging” (ADAMI), funded by the European Union. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing
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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing of MRI and light-sheet microscopy), biological and medical sciences (tissue
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opinion with a level of certainty to assist human experts. From the aspect of research methodology, the research work involves image processing, data analytics and machine learning, as well as image-based
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at the interface of signal and image processing, behavioural neuroscience and neurofeedback. Neurofeedback approaches (NF) (see [1] for a complete and actual introduction), also known as restorative brain-computer
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have the opportunity to apply machine learning image processing techniques to guide theory with experimental analyses. Your research will lead to new discoveries and a close interaction with our
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both germline and conditional (floxed) mouse models of neurological disorders for behavioral, imaging, biochemical, and histopathological experiments. We also use primary neuronal and immortalized cell