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And computer engineering (accredited by the Engineering Accreditation Commission of ABET, a combined 5-year BS-MS program, a minor in computer science, a Certificate in Data-Intensive Computing, and several joint programs (BS in Computer Science/MBA, BS in Computational Physics, BA in Social Sciences Interdisciplinary - Cognitive Science Concentration, BS in Bioinformatics and Computational Biology - CSE concentration) as well as MS and PhD programs in Computer Science & Engineering.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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These teams develop biologically inspired, revolutionary technological innovations in systems and synthetic biology, materials science and engineering, biotechnology tools and cognitive neuroscience.
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It features basic and applied social and behavioral science research (including anthropology, communication, economics, sociology, political science, and psychology) and lifespan cognitive neurosciencefocusing on aging and urban and minority health.
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Health Services (Public Health; Human Biology and Society; Cognitive Science) Behavioral/Social Sciences (Sociology; Counseling; Psychology; Applied Behavioral Science; Ethics; Communication; Political Science; Economics; Social Welfare.
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The area of specialization is open, but we are particularly interested in candidates with specializations in Clinical Psychology, Counseling Psychology, Biopsychology (broadly defined), Cognitive Psychology, Personality Psychology, or Applied Behavior Analysis.
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Master’s Degree in Cognitive Science, Data Science/Machine Learning, Statistics, Mathematics, or a related field. Master’s Degree in Cognitive Science, Data Science/Machine Learning, Statistics, Mathematics, or a related field is required.
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Advanced degree (e.g. MS, PhD) in psychology, cognitive science, computational linguistics, data science, statistics, computer science or similar fields. The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence-based interventions designed to promote very young children s cognitive and social-emotional development, with a priority placed on that of children living in poverty.
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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
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Currently has, or in the process of, obtaining a(n) Master’s in social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questions.
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Requirements: A PhD and/or MD degree, preferably with a focus on cognitive neuroscience, physics, computer science, applied mathematics or bioengineering. Desirable skills/experience: Quantitative image analysis, some experience in artificial intelligence and machine learning, and hands-on experience in human neuroimaging and data analysis techniques such as MRI, fMRI, PET and EEG. Candidates with diverse experience and interests seeking to establish a career in neuroimaging are encouraged to apply.
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The Center for NMR Research (CNMRR) in the Department of Radiology at Penn State College of Medicine invites applications for a postdoctoral scholar to join our neuroimaging and fMRI image analysis team.
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Masters degree in Neuroscience, cognitive science, psychology or a related field. Study-related activities commonly include cognitive testing, brain imaging, and fluid biomarker testing.
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Bachelor's degree or higher required in education, psychology, cognitive science, data science, statistics, applied mathematics, or a related field. The Cognitive Development Lab in the Department of Psychology at the University of Chicago, under the direction of Dr. Susan Levine focuses on mathematical and language development in young children, and on variations in children’s learning trajectories that relate to their experiences at home and at school.
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Required Qualifications Ph. D. in Psychology, Sociology, Economics, Education, Epidemiology, Neuropsychology, Computer Science, or a related field. The Research Scientist should have skills, experience, and an interest in producing cutting-edge quantitative research on the relationship between education and cognitive aging using longitudinal surveys, biomarkers, and administrative data linkages.
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