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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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, clinical research analytics, and personalized learning experiences. Develop scalable backend services, data pipelines, and secure application architectures for storing, processing, and managing simulation
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support to the Department and Chair focused on academic planning, educational programming, the teaching and learning agenda, and student success. Assists in the planning, coordination and support of
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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administrative support to the Department and Chair focused on academic planning, educational programming, the teaching and learning agenda, and student success. Assists in the planning, coordination and support of
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auditory perception, learning, and decision-making. Performs anatomical tract tracing, AAV-based labeling, immunohistochemistry, imaging, and analyses of the neural circuits involved in auditory processing
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for neuroimaging data processing, quality control, statistical analysis, and visualization. Apply statistical and machine-learning methods, including functional connectivity analysis, and integrate imaging-derived
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analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker). Cultural and language competency and/or experience working with one
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submission and tracking of new or revised courses through required approval processes (e.g., CCCR). Update course descriptions and graduation requirements documentation as needed, including necessary learning