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Knowledge, Skills, and Abilities - Prior experience in somatosensory research. - Familiarity with advanced imaging, electrophysiological techniques, and behavioral assay methodologies. - Proficiency in using
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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Brain Imaging Research (CAHBIR) and the RWJMS Department of Psychiatry. The Clinical and Affective Neuroscience Lab https://sites.rutgers.edu/canl/ conducts behavioral and neuroimaging studies
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federal, state and Rutgers's compliance standards as they appear in RBHS's Corporate Compliance Policy, Code of Conduct and Interest policy. Acts as a role model for corporate integrity, customer service
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the pre- and post-processing of Magnetic Resonance (MR) images (or utilization of existing brain imaging markers), taking peripheral or central biomarkers, and regressing them against those images using
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a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human Brain Imaging Research (CAHBIR
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processes relevant to human health and disease using using genetics, molecular biology, biochemistry, cell biology, and microscopy/imaging. A qualified candidate will be capable of working independently
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federal, state and Rutgers's compliance standards as they appear in RBHS's Corporate Compliance Policy, Code of Conduct and Interest policy. Acts as a role model for corporate integrity, customer service
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Policy, Code of Conduct, and Conflict of Interest Policy. Understands, demonstrates, and models the Rutgers Cancer Institute of New Jersey core values. Keeps abreast of all pertinent federal, state and
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Compliance Policy, Code of Conduct and Conflict of Interest Policy. Performs other related duties as assigned. Minimum Education and Experience: Doctoral degree in public health, health communication