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the application of 1) Structural Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems integrated with advanced probabilistic methods, machine learning and Artificial Intelligence (AI) approaches, and 2
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maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation
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, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding
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learning or AI models. The role also involves applying principles from human–computer interaction and assisting with augmented reality features as needed for project activities. In addition to technical
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and experience using geographic information systems software are also required. Knowledge of Git is a plus. The successful candidate must be willing to learn new methods as needed and have the ability
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Knowledge, Skills, and Abilities Computer literate, with comfort navigating file systems, performing basic troubleshooting, and learning command-line workflows (PowerShell and/or Python). Ability to work both
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Movement Sciences at Rutgers University is seeking a highly motivated Post Doctoral Associate to work on translational projects at the intersection of biomechanics, machine learning, exergaming, and mobile
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/ ). The successful candidate will develop web pages and front-ends to showcase new drug discovery tools and databases used to train innovative machine learning models. This is an outstanding opportunity
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well as leading efforts in mutual learning among researchers, practitioners, advocates, community organizers, and policymakers. The Associate will conduct research in the context of research practice partnerships
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virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting Number 25FA0682 Posting Open Date Posting Close Date