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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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accordance to Lab safety standards set by Princeton University as well as the Atkinson and Avalos labs. *10% - Recording data and performing data analysis; organizing data into figures. Regular reporting
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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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, and align ultrafast optical setups, integrate setups with measurement electronics for data acquisition, etc. Experience in the following areas is beneficial but not required: nonlinear optics (e.g
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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