104 machine-learning "https:" "https:" "https:" "https:" positions at Princeton University
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inference and statistics; computer vision and novel applications of machine learning.Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is
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https://main.hercjobs.org/jobs/21764043/2025-postdoctoral-research-associate-ai-machine-learning-for-analytical-and-forensic-chemistry Return to Search Results
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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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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literacy and have the ability to achieve competency using applicable campus software systems. Be able to learn computer basics and work with the departments CMMS Software System. Must be available for after
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: -A strong background in science and a bachelor's degree is required. -Math and computer proficiency, along with meticulous record keeping is required. -Must be highly motivated, a team player, able to
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well as the rigor, innovation, and interdisciplinary emphasis of the proposed seminar course.The appointment period will be for either the Fall 2026 or Spring 2027 semester. The Anschutz Fellow(s) will teach one
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applications in machine learning. The ORFE department is part of the School of Engineering and Applied Science which is pursuing several initiatives in related areas.To be successful, the candidate must have a
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design or experimental methods and machine learning. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory
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written communication skills. Proficiency with computer use and willingness to learn new systems and technologies. Ability to lift 20-50 pounds occasionally (e.g. move sports goals on field, set-up tables