16 Psychology Postdoctoral positions at Pennsylvania State University in united States
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a Ph.D. in Clinical or Developmental Psychology (or a related field, including Cognitive Psychology or Neuroscience) by the appointment date. Ideal candidates should have experience with EEG/ERP
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and other professional development opportunities. Requirements include a PhD in psychology, neuroscience, education, computer science, or a related field, with a record of publications. Applicants must
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2024. This role is centered on cutting-edge research at the nexus of machine learning, deep learning, computer vision, psychology, and biology, with foci on psychology-inspired AI and addressing
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to the associations between psychological stress, emotion, and psychological disorders (e.g., depression) with physiological markers related to stress and health (e.g., inflammatory markers) and with cognitive aging
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an appropriate field, including, but not limited to, Nutritional Sciences, Public Health, Data Science, or Psychology. They should also possess strong analytical skills including experience with longitudinal and
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of Biobehavioral Health at Penn State (relocating from the University of Miami). Our interdisciplinary research lab combines theory and methods from cultural anthropology, psychology, and human social, cultural
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ongoing longitudinal study and have access to extensive already-collected data for secondary analysis. Qualified individuals will have earned a Ph.D. in biobehavioral health disciplines such as psychology
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economics, psychology, public policy, information systems and informatics, and demography. The position requires a demonstrated capacity for conducting high-quality research and interest in developing through
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and Performance Systems, Curriculum & Instruction, Educational Psychology Counseling Education, Education Policy Studies, or related field is required by the start date. A successful candidate will
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degree or equivalent in human development, social welfare, psychology, or a related social and behavioral science and have strong methodological training in quantitative data analysis with large datasets