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in-person on campus at Princeton University. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40541 and submit a CV, cover letter, and contact information for three
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have multi-year appointments. Interested applicants should apply online at https://puwebp.princeton.edu/AcadHire/position/40522 and submit a CV, cover letter, and contact information for three references
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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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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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spectrometry data (https://www.nature.com/articles/s42256-021-00407-x, https://www.biorxiv.org/content/10.1101/2024.11.13.623458v1.abstract, https://www.nature.com/articles/s42256-024-00821-x, https
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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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are seeking experts in electrochemistry, solid-state ionics, materials characterization and/or electrochemical engineering. We seek candidates with an interest in participating in large multi-PI grants and with
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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the coding of video data in infants. Responsibilities will include activities such as working with large, longitudinal datasets, designing and implementing lab-based experiments, coding video data
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are seeking experts in electrochemistry, solid-state ionics, materials characterization and/or electrochemical engineering. We seek candidates with an interest in participating in large multi-PI grants and with