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new, nationally visible Institute at a leading research university. The Institute and its core faculty advance theory-informed and practice-engaged research on how engineers learn, how engineering
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faculty advance theory-informed and practice-engaged research on how engineers learn, how engineering knowledge and identities are formed, how we assess and evaluate learning, and how educational systems
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tools, wetlab approaches for circulating nucleic acids, interpretable machine learning for biomarker discovery, and methods we haven’t imagined yet, and to see those tools deployed in real patient cohorts
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-Twentieth Century to the present. This is a residential postdoctoral position. Postdoctoral Associates are expected to teach two courses per year on topics within the field of Jewish Studies, including one
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National Research Network • Quantitative Studio Pedagogy • Engineering Learning and Feedback Applications are invited for a postdoctoral research appointment in the Meinig School of Biomedical Engineering at
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world and a suite of associated machine learning tools. The incumbent will be advised by Dr. Laurel Symes (CAPS, [email protected]). Depending on the research direction, collaboration and additional
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at the intersection of AI and any humanities or social science discipline. Fellows will have the option to teach one undergraduate course each year. The first year of appointment will run 1 August 2027–31 July 2028
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across learning sciences, computer science, machine learning, HCI and education research. Research Role Research themes for the NTO Postdoctoral Associate include, but are not limited to: Developing
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avenues of research rather than a required work plan. They may be pursued individually or in combination, and we welcome other creative and strategic approaches. Statistical or machine-learning approaches
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are especially interested in candidates who are: ● Curious and eager to learn from diverse perspectives. ● Enthusiastic about tackling complex socio-environmental challenges. ● Skilled at building relationships