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The Department of Operations Research & Financial Engineering (ORFE) invites applications for a postdoctoral position broadly in statistics and machine learning. This position is supported through
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: 2024-18540 Type: Full-Time # of Openings: 1 Category: Information Technology Princeton University Overview The Department of Public Safetyâ™s (DPS) mission is to enhance the living, learning, and working
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applications at the intersection of statistical mechanics, multiscale simulation, and machine learning. The successful applicant will be appointed through the Chemical and Biological Engineering Department
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-paced high productivity environment. Exceptional computer skills including word processing, spreadsheet preparation, proofreading and data management. Must have prior experience with complicated mail
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the neural activity that drives human behavior under natural and realistic conditions. Among other things, the candidate will work with ECoG data and machine learning algorithms on one of our flagship projects
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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system. Experience with modern programming methods and best practices. Expertise in computer architectures, storage and networks, as well as resource schedulers. Strong analytical, problem-solving skills
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representative, individuals will escort contractors to various buildings for testing and inspections. Assist with document filing and computer work, including but not limited to, assisting technicians with
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ladders. Have a baseline level computer literacy or the ability to learn computer basics. Capable of working with others on a team, yet be able to take on responsibility and function independently. Be
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climate. The broad scope is improved representation of processes in models, high-resolution modeling, application of novel machine learning methods, and advancing the understanding of the Earth System