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responsible for the development and implementation of data analysis methods to be used on two-photo imaging datasets collected by scientists within the center as well as the development of experimental
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Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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. Depending on area assigned, may specialize in one or more clerical functions, such as coding clerical support, transcription processing and interface. Coordination of record request, image scanning quality
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: 87278BR The Staff Research Associate I/2 will support research in the Dunn Lab focused on understanding how visual information is processed in the retina and how these processes are disrupted in disease
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people in Orange County, western Riverside County and southeast Los Angeles County. To learn more about UCI Health, visit www.ucihealth.org. Your Role on the Team Position Summary: Reporting to the Imaging
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frameworks is essential. Experience of working with UK Biobank imaging or similar large-scale population would be desirable. Diversity Committed to equality and valuing diversity Application Process You will
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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Researcher to join our interdisciplinary team in the Department of Electrical and Computer Engineering. This role focuses on developing and applying label-free imaging techniques, designing cutting-edge optics
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image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is essential. Specific