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topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding
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technologies, computer vision, and perception Foundational knowledge of machine learning Experience developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D
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The Center for Statistics and Machine Learning (CSML) at Princeton University invites applications for Postdoctoral Research Associates position. Appointments are for one year with the possibility
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The Department of Computer Science at Princeton University is seeking applications for postdoctoral or more senior research positions in theoretical computer science and theoretical machine learning
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; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine
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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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for energy systems planning and operations, leveraging decomposition methods, machine learning, multi-scalar modeling, and other creative techniques. 2.Applied energy systems modeling: scholars will help build
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-computer science, statistics, and/or machine learning with applications relevant to genomics -population genetics / genomics
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science, electrical and computer engineering, sociology, public policy, information science, communication, economics, political science, psychology, philosophy, and related technology disciplines. Selected candidates
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job posting. The Postdoctoral Research Associates will be appointed through the Center for Statistics and Machine Learning with the possibility for affiliation with other academic departments and/or