13 phd-statistics Postdoctoral positions at Yale University in america in United States
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position with experience in physiologic signal processing (e.g., EEG) and statistical/machine learning methods. The applicant would be joining the lab of Dr. Jennifer A. Kim MD-PhD, which focuses
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of their PhD). Appointments are available to start in Winter 2024 (January 1, 2024 or sooner). This is a multi-year position for individuals seeking to become independent scientists in: (a) Digital psychiatry
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and perform hands on experiments and maintain detailed documentation Qualifications: Must have a PhD in a field applicable to cancer research and associated experience in a health-related area such as
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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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/ Qualifications: Qualifications required are a PhD in statistics or biostatistics or relevant areas, a strong background in statistical methods and programming, and good writing and communication skills. Prior
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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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dataset analysis. Developing multi-scale mechanistic or data-driven models of the immune system, with a focus on T and B cell biology. Candidate requirements Candidates must have a PhD in Computational
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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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multi-site, multidisciplinary research team, and be mentored primarily by Dr Christopher Rentsch, PhD, with the opportunity to collaborate with the wider VACS team and external partners through its
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Career Strategy, and other offices at Yale. Qualifications Candidates should have or be close to obtaining a PhD in either genetics, genomics, computational biology, bioinformatics, or a related field