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bioinformatics, computational biology, computer science, statistics, genetics or related field required by the start date Demonstrated ability to design, implement, and apply for the analysis of high-throughput
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computing, machine learning methods, and or statistical genetics. The ideal candidate will also demonstrate: A high level of drive and initiative, and track record of impactful research outcomes Experience writing
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Qualifications PhD in Public Health, Education, Social Behavioral Sciences, Psychology or related field, interest or experience with digital interventions is helpful Excellent methodological and statistical skills
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-on experience in machine learning and deep learning. Strong programming skills, preferably in Python. Solid foundation in mathematical modeling, probability, and statistics. Ability to work collaboratively in
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, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data
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of scholarly research including content-relevant peer-reviewed publications. Knowledge of using statistical software, Stata. Be able to interpret statistical output and work independently as
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preparation collaborate with other researchers teach/mentor other lab members QUALIFICATIONS: Ph.D. in bioinformatics, computational biology, computer science, statistics, genetics or related field required by
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, there are multiple opportunities for translational research. Qualifications: PhD, MD or MD/PhD in neuroscience, neuroimaging, statistics, psychology, engineering or a related field is required. Previous experience
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in the study of psychology of art, and/or relevant area Competence in quantitative research methods Strong analytical skills and use of statistical packages and analyses (e.g., SPSS, R) Strong
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intelligence or emotions, and/or relevant area Competence in quantitative research methods Strong analytical skills and use of statistical packages and analyses (e.g., SPSS, Stata, R) Strong analytical and