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, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure, function, and dynamics across individuals and populations. Key Responsibilities The postdoctoral fellow will
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relevant programming language (e.g., R or Python). Strong written and oral communication skills. Experience managing multiple projects at once. Willingness to learn new technical skills and gain knowledge in
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affected by mental illness. The postdoctoral scholar will work on projects focused on autism and schizophrenia-spectrum disorders, using large-scale neuroimaging, clinical, cognitive, and molecular datasets
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, or elemental carbon analysis. Knowledge of CNT characterization methods, including Raman spectroscopy, electron microscopy, thermogravimetric analysis, surface-area measurement, and electrical or mechanical
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including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,826 We seek a postdoctoral fellow with deep knowledge
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for highly motivated postdoctoral candidates with a PhD in bioengineering deep knowledge in computational biology and machine learning. Candidates with a molecular biology or engineering degrees with
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/strong stats background and a passionate interest in unraveling the links between postoperative delirium (which is the most common complication among older surgical patients), long term cognitive decline
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graduate-level knowledge of spatial analysis, machine learning, large dataset management, and statistics or econometrics. Applicants must be proficient in R and/or Python. Advanced knowledge of R's and/or
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demonstrated aptitude to quickly learn pharmacometrics. Comprehensive understanding of scientific principles and expert-level knowledge in fields related to the research project. Proficiency in data analysis and
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and settings, including children who are deaf and hard-of-hearing. Required Qualifications: Ph.D. in Psychology, Linguistics, Cognitive Science, Electrical Engineering, Computer Science, Education