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-mentorship by faculty in biostatistics and clinical psychology and opportunities for collaboration with co-investigators with expertise in violence prevention, behavioral and social science, emergency medicine
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Institute at Yale University is a university-wide initiative that seeks to understand human cognition — how we perceive, think, remember, and decide — by integrating perspectives from psychology, biology
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, predictive modeling, and machine learning concepts. Preferred Education, Experience and Skills: Master’s or PhD in a quantitative field where research and quantitative methods have direct applicability
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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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of researchers. Required education and experience Candidates must have a PhD in a relevant field or discipline, such as psychology, political science, communication, or public health. Proficiency in survey and
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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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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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programming to underserved youth within the community and will be involved in overseeing community-building events such as workshops and internships. Skills and Qualifications PhD in Public Health, Education
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interdisciplinary. Candidates should hold a doctoral degree (PhD in Psychology, Criminology, Sociology or other social science field, JD or MD), and their research interests may combine different elements
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Linguistics, Cognitive Science, Psychology, Computer Science, or another discipline related to computational linguistics. The applicant’s research agenda should relate to the use of computational methods