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following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, social sciences, public policy, or a relevant interdisciplinary area. Interest in
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background in social epidemiology, spatial epidemiology, human geography, or related public health or social science disciplines. Highly desirable is demonstrated expertise in spatial epidemiology or injury
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techniques, we will discover, characterize, reconcile, enrich and connect the datasets with the subjects, people, institutions, places, research projects, and funding programs in order to facilitate both graph
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studies how the infant brain learns about the social world and how early-life experience shapes neural circuits with long-term consequences for learning, attachment, and mental health. Our work focuses on
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their emotional intelligence. Our work focuses on: (1) the development and impact of social and emotional skills among diverse populations, including education settings and organizations, and (2) the mechanisms by
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field including computer science, law, philosophy, public policy, social sciences, or a relevant interdisciplinary area. A strong publication record or evidence of potential for high-quality peer-reviewed
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, engineering, environmental health sciences, social and behavioral sciences, health policy, medicine, or other areas in life or data sciences, as well as a strong interest in CPC research. Previous research
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Health. Dr. Raissian is a quantitative, social policy researcher who uses causal research techniques to identify strategies to improve the criminal justice system response to domestic violence and firearm
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applied science on enhancing natural Earth systems to create safe, effective, and scalable methods of reducing greenhouse gas concentrations in the atmosphere. The YCNCC mission strongly emphasizes
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with Senior Research Scientist Kerri Raissian in the Department of Health Policy & Management at the Yale School of Public Health. Dr. Raissian is a quantitative, social policy researcher who uses causal