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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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in the United States. Preferred methodological skills include statistical analysis of survey and other large-n data, qualitative interviews, and/or text analysis and machine learning skills
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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holography and electronic systems for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should
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data sets and strong analytical skills in psychology or other social science disciplines is necessary. Responsibilities: Advanced statistical modeling and data analysis – 60% · Conduct advanced
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, interdisciplinary collaboration, and group dynamics. Preference will be given to applicants with expertise in field experiments, survey methods, or quantitative data analysis. The postdoc will contribute to a new
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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candidate will have experience or basic understanding of several of the following areas: high-dimensional data analysis, genome-scale analysis, analysis of genetic data, epidemiology, translational research
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doctoral-level scientist with rigorous interdisciplinary training in climate data science and health data analysis, fostering the skills, perspective, and leadership capacity needed to establish
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with our co-PI at UCLA. Responsibilities include study design, supervising and leading data collection, coding, and analysis, and writing of manuscripts for publication, as well as grant preparation