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. This Initiative pursues research on the study, design, and evaluation of large AI models (especially language models); their applications to various academic disciplines on campus; and study of their impacts
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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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their country of dual-citizenship; each country has different regulations.) At least a bachelor’s degree (but not PhD) by the beginning date of the grant. Language proficiency, in non-English-speaking
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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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, and evaluation of large AI models (especially language models); their applications to various academic disciplines on campus; and study of their impacts on society. The research scientist should have
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development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and
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computational approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to develop new AI/ML approaches for anti-doping, with
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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, and knowledge of research on political institutions. Strong data skills, including programming in statistical packages, and experience compiling and manipulating large data sets are highly desirable
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on issues relating to energy and the environment. Our methods range from process-tracing in controlled lab and virtual-lab experiments, to field experiments in real-world settings, to using big data