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Applications for summer of 2026 will be available in early December, 2025. Do you have a big idea? Want to build upon a theme, project, research or experience you've had? Interested in a solo or
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activities such as working with large, longitudinal datasets, designing and implementing lab-based experiments, coding video data, writing manuscripts, presenting research, and mentoring undergraduate and
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engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience writing proposals for user-facilities, and/or experience
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in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention (even if they have not explicitly worked on cancer prevention before). Candidate
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large-scale AI workflows. Applicants should submit online at https://puwebp.princeton.edu/AcadHire/position/39681 and include a cover letter, curriculum vitae, research statement, teaching statement, and
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package 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
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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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financial analysis High-intermediate to advanced Excel, including work with large data sets, tables, sources; and use of data-checking and -matching techniques Familiarity with other Microsoft Office
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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
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, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science approaches. Postdoctoral researchers are given the opportunity