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teaching, or active learning practices Preferred Qualifications: Demonstrated skill in interviewing and qualitative data analysis Demonstrated skill in survey data collection and quantitative analysis
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data pipelines Comply with data security guidelines Data analysis (25%) Data reduction of predictor and outcome measures Determine and implement optimal strategies for testing multiple hypotheses Utilize
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conferences. Manuscript preparation, including statistical analysis, data visualization, writing, and editing. 10% Supervisory The postdoctoral associate will work with undergraduate and graduate students in
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, implementation, and analysis of experiments. As required, you will be expected to prepare manuscripts for submission to scientific journals and present at scientific meetings. Additionally, you are expected
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documentation, regulatory documents, and case-report forms (CRFs). • Receive and respond to data queries and monitoring action items as assigned. Data Analysis (15%) • Interpret patient questionnaire data
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institutions. Primary responsibility will be to develop, test and validate various sequences in healthy volunteers at 10.5 T. Additional responsibilities will be spectral processing, critical analysis of data
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
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partners in the design, implementation, and analysis of experiments is essential. Preparation of manuscripts for submission to scientific journals and presentation at scientific meetings is required. 10
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):4237. You will be expected to collaborate with other laboratory scientists and outside scientific partners in the design, implementation, and analysis of experiments. As required, you will be expected
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mathematics, informatics, or other relevant fields ● Evidence of research productivity in mathematical modeling, decision analysis, and/or data science ● Demonstrated ability to communicate