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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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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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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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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele
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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
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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renewable for a second year pending budgetary approval. In addition, the research support, the position offers the opportunity to teach one 3-credit course per academic year designed to help undergraduate
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learn, work, and serve the public at Rutgers locations across New Jersey and around the world. Posting Summary Rutgers, The State University of New Jersey, is seeking a highly motivated Post Doctoral
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, quantitative polymerase chain reactions, next-generation sequencing, and related, advanced molecular biology techniques. The person will instruct staff and students, participate in planning experiments, and
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applicants who are committed to promoting a sense of belonging and contributing to an equitable and inclusive learning workplace are strongly encouraged to apply without regard to race, creed, color, religion