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: 270801838 Position: Postdoctoral Research Associate, Data-Driven Social Science Description: Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for Postdoctoral
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Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for Postdoctoral Research Associates. DDSS supports technical and methodological innovation in
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scientists for research and development activities focused on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution
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of reinforcement learning in the brain and leverage these models to assist the experimental groups with experimental design and multimodal data analysis of neurophysiological, causal, and behavioral data
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. The DataX Postdoctoral Research Associate positions are intended for early-career scientists with a research interest in data science, statistics, and machine learning. As an associate, you will join the
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scientists for research and development activities focused on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution
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mechanical, electrical, and data acquisition systems (e.g., vacuum systems, high-pressure gas handling, analog signals/switching, high-speed data acquisition) Strong publication record In addition to technical
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include a cover letter, CV (including a list of publications), research statement (a discussion of past research, expertise, and research interests), and contact information for three references. The Term
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outstanding data management skills, strong programming skills, and substantive interests in policy effects on life outcomes in general and the effects of COVID mitigation policies in particular. Familiarity
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information for three references. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued