126 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral positions at Rutgers University in United States
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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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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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Quick Link to Posting https://jobs.rutgers.edu/postings/267073 Campus Rutgers University-New Brunswick Home Location Campus Rutgers University - New Brunswick City New Brunswick State NJ Location Details
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analyses or the ability to effectively learn these techniques will be needed. Effective oral and written communication skills. Preferred Qualifications Experience in immunology, T cell biology, and cancer
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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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used; the Framework for Assessment of Changes To Sea-level (FACTS; https://www.fact-sealevel.org/ ), an open-source sea-level projection framework initially developed by the lab, supported
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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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, 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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Abilities Strong quantitative and programming skills (e.g., MATLAB, Python, R). Solid background in signal processing, statistics, or computational neuroscience. Excellent written, verbal and computer skills
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experiential learning courses, as well as contributing lectures to core plant pathology courses that support required and elective curricula in the Undergraduate Program in Plant Science and Graduate Program in