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aeronautics, power industry, military experience, vehicle design, etc. Knowledge, Skills and Abilities: Ability to work with a diverse array of individuals, from maintenance crews to research collaborators is
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The Princeton Computational Imaging Lab in the Department of Computer Science explores the frontiers of imaging and computer vision. To develop next-generation imaging and vision systems, the lab
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-principles modeling and machine learning. The center is seeking a qualified candidate with a Ph. D. in physics, chemistry, engineering, applied mathematics, and related disciplines, having a strong
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recognition using deep learning and custom Python scripts. ● Operating fluorescence microscopes (light-sheet, epi-fluorescence/slide scanner) ● Computer-based volumetric reconstruction of whole brain images
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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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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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, 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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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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algorithms. 2. Analyze reinforcement learning algorithms. Essential Qualifications Experience with probability/statistics, calculus, machine learning, and reinforcement learning Be advised that you will be