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The Department of Electrical and Computer Engineering at Princeton University has an occasional curricular need for lecturers to teach, co-teach, or lead precepts in areas such as information
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, faculty, and staff in Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community
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Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community. This position works closely with librarians and information specialists, guiding
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. Responsibilities Application of Domain Expertise: Maintain strong command of AI and machine learning concepts, including underlying science, math, and algorithms; stay current through reading publications, reviewing
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potential career in the field of Building Controls and Automation. The student will have an excellent opportunity to learn from the Maintenance and Engineering staff and gain experience in the day-to-day
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across the broad areas of Statistics and their applications in machine learning. The ORFE department is part of the School of Engineering and Applied Science which is pursuing several initiatives in
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. Fabricate parts as required using a variety of equipment and tools such as: milling machine, lathe, drill press, band saw, and other industrial tools. Assist in the set up and operation of pneumatic
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limited to synthetic and chemical biology approaches to cellular computation and biomolecular logic design, the development and implementation of novel algorithms, machine learning for parsing biological
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mission and vision. Come join us! Core Duties: Installation, Maintenance, Repair and Troubleshooting Install, modify, maintain and repair of electronics equipment, prototypes, and computer systems to ensure
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) is required. Preferred Qualifications: Familiarity with machine learning methods for neural data analysis and strong programming skills. This position is subject to the University's background check