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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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cutting-edge expertise in a wide variety of modern disciplines, including analytical, organic, inorganic, physical, and materials chemistry, as well as biochemistry. Our department is equipped with state
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: The analyst will contribute directly to the development and advancement of NSSE and associated projects. This will include working collaboratively with NSSE’s Data and Reporting team to update NSSE by shaping
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disciplines including analytical chemistry, organic chemistry, inorganic chemistry, physical chemistry, materials chemistry, and biochemistry. Job Summary: Collaborative postdoctoral research will be conducted
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neural and behavioral mechanisms underlying response to such treatments, are encouraged to apply. The fellow will actively participate in implementation, data analysis, and dissemination of findings
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data collection and integration across multi-institutional collaborators. Work closely with clinical and research teams to ensure high-quality sample tracking, annotation, and compliance with
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quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with computer vision tools (e.g., MediaPipe
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, and evaluate the impact of information technologies on population health in the context of public health and healthcare delivery organizations. The goal of the fellowship program is to provide
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variety of modern disciplines including analytical chemistry, organic chemistry, inorganic chemistry, physical chemistry, materials chemistry, and biochemistry. Postdoc position is available to explore
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chemistry, physical chemistry, analytical chemistry, organic chemistry, and biochemistry. The department has remarkable characterization facilities including multiple transmission electron microscopes