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by the research needs - In a team setting, contribute to the development of software tools that allow researchers to interact in flexible ways with extremely large data sets - Understand how to address
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methods range from process-tracing in controlled lab and virtual-lab experiments, to field experiments in real-world settings, to using big data, and include both quantitative modeling and qualitative
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of the Program Steering Committee comprised of senior functional, IT, and data leaders. The Program Steering Committee will be governed by the cabinet level Executive Steering Committee for critical
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at Princeton University, an interdisciplinary research team who has built the first-ever national database of evictions in America (evictionlab.org). The Eviction Lab is currently working on a large number of
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Investigators, postdocs, and researchers to discuss progress, challenges, and insights. Annotation of AI- Generated Data Analysis Proofread and annotate data within diverse scientific datasets, including
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big data, and include both quantitative modeling and qualitative approaches. The research group manager will report directly to the lab director, Professor Weber, and work closely with research group
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effective manner. Engages in research and reviews pre- and post-questionnaires as well as other assessment data for ongoing quality improvement. Reflects upon clinical cases, identifies trends in misbehavior
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activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring undergraduate and graduate researchers in
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with