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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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diplomacy. Ability to learn concepts and processes quickly. Proficiency with both Google Suite and Microsoft Office (Excel, Word and PowerPoint) / general computer literacy. Physical Requirements: Occasional
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Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community. This position works closely with
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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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: 280940099 Lecturer D-26-ECE-00003 | Faculty | Electrical and Computer Engineering The Department of Electrical and Computer Engineering at Princeton University has an occasional curricular need for lecturers
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(i.e. machine learning, neural nets, LLMs). Prepare results and design figures for reports and presentations. Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA
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schedule. This is a 3-year term position, with a possibility of reappointment. Application of Domain Expertise: Maintain strong command of AI and machine learning concepts, including underlying science, math
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(faculty, students, staff) operating machines and tools for independent research or educational purposes: -Organize and deliver instructional classes for new users of the SEAS machine shop -Instruct users in
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to established methods and procedures for research laboratories. Person will keep glassware, instruments, equipment and experimental area clean, neat, and in good order. Candidate will also learn to produce
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. Qualifications High School diploma or equivalent. Candidate must be Customer Service oriented. Must possess physical security experience, past law enforcement, or a military background deemed equivalent to meet