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within complex electrical systems in areas such as aeronautics, power industry, military experience, vehicle design, etc. Knowledge, Skills and Abilities: Ability to work with a diverse array of
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, neuroscience, computer science, or a related field (e.g., physics, engineering) is required. Preferred Qualifications: Familiarity with machine learning methods for neural data analysis and strong programming
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to computational analysis of and machine-learning approaches to mass spectrometry-based metabolomics and/or proteomics data. Positions are available starting March 2024, and will remain open until excellent fits
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equipment and software for staff, faculty, researchand teaching labs Work with Research Computing to handle needs for computational cluster and storage server usage Support and troubleshoot AV issues in all
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associates to work on the CMS experiment. Opportunities available to the successful candidate include development of tracking algorithms with an emphasis on applying machine learning methods, Outer Tracker
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development, and systems administration to faculty, staff and students of the Electrical and Computer Engineering Department. The candidate should be a skilled and independent web developer with systems
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applicants who advance discovery in their fields of scholarship using techniques from machine learning and statistics. Applicants may also make research advances in the machine learning and statistical
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modeling, deep learning/computer vision, time-lapse cameras and hummingbird behavior. Required qualifications: *A PhD in biology, genetics, physics, computer science or a related field *A very strong
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Qualifications Experience with probability/statistics, calculus, machine learning, and reinforcement learning Be advised that you will be contacted only if there is further interest in your application. Your
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machine learning methods for neural data analysis and strong programming skills. This position is subject to the University's background check policy. Princeton University is an Equal Opportunity