101 machine-learning "https:" "https:" "https:" "https:" positions at Princeton University in United States
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course. The appointment period will be for either the Fall 2026 or Spring 2027 semester. The Anschutz Fellow(s) will teach one interdisciplinary, three credit-hour, undergraduate seminar course for the
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. Flexibility and dependability. Excellent computer skills, ability to learn the UHS-specific program, Medicat. Be knowledgeable in principles and methodologies (e.g., Plan-Do-Study-Act, Root Cause Analysis
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and events. Strong computer skills, comfortable using a variety of software, with the confidence and ability to learn new systems. Flexible work schedule required which will include hours on Saturdays
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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experience in mailing and package handling. Computer literacy working knowledge of Microsoft Office. Ability to lift 75 pounds. Ability to maneuver packages up to 150 lbs. using appropriate equipment and/or
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics
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. About Us ARG is an interdisciplinary laboratory for advanced research at the intersection of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot
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topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding
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technologies, computer vision, and perception Foundational knowledge of machine learning Experience developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D