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DESCRIPTION Duke University and North Carolina State University (NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration
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, including literature review, experimental design, data analysis, collaboration, and dissemination of findings through conferences and publications. Apply for fellowships and awards, and provide mentorship
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opportunity to develop innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful
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analyzing single-cell and spatial profiling data using modern techniques. This work should have contributed to significant pre-prints or published manuscripts, where the candidate played a leading role
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opportunity without regard to an individual’s age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status
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innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful candidate will collaborate
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committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex
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, excellent communication, data processing, organizational, written and oral presentation, and problem-solving skills. Experience in animal handling and/or high throughput sequencing analysis is strongly
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experimental data, ensuring accuracy and reliability. · Prepare comprehensive reports, manuscripts, and presentations for publication and dissemination. · Mentor and supervise junior researchers, graduate
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behavioral assays related to reinforcement learning and neuropsychiatric disease models. • Combine DART with modern imaging and behavioral tools to examine neurobiological mechanisms. • Analyze data, document