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Applied Data Science Postdoctoral Fellowship program. Under this program, postdoctoral trainees will be co-mentored by NU and JAX researchers working on priorities identified by both organizations
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tracking system for enrolled IBPLC students, coordinating consent, data collection, and case-study protocols with BPL U.S. sites Conduct quantitative analysis of predictive validity, linking IBPLC scores
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ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes to a research direction on personalization and
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sensing, computer vision, mental health, data fusion, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that
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acquiring full-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows
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existing data, which can range broadly from behavioral (e.g., computerized task) to neuroimaging (e.g., fMRI) data from studies examining neurodevelopmental mechanisms of social information processing
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. KEY RESPONSIBILITIES Coordinates day-to-day implementation of research studies, including IRB submissions, participant recruitment, data collection, and meetings with stakeholder and community partners
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on the design and development of mathematical, probabilistic, and statistical frameworks for drawing inferences from complex biological data in collaboration with scientists at the Snow Centre for
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and operate catalytic reactors Ability to synthesize and characterize catalysts Proficiency in Python programming Ability to apply machine-learning methods to scientific data Ability to work
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-time research or scholarship; work under the supervision of a senior scholar. Please use the space below to identify specific requirements for this position. Seeking Postdoc to lead fMRI data analyses