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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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researchers Background in sensing technologies, computer vision, or perception Foundational knowledge of machine learning and data-driven methods Experience with robotic fabrication, custom tools, or end
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sciences. Whether it be through science, engineering, technology or professional services, every team member has an opportunity to contribute to our mission and vision. Come join us! Responsibilities
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candidate may also participate in the liquid metal component testing program in the NSTX-U device at PPPL. A U.S. Department of Energy National Laboratory managed by Princeton University, the Princeton Plasma
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integration of clinical and administrative functions, and represents the organization through a wide range of university and external partnerships. The Director collaborates with senior clinical and program
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must