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++, or similar languages. Demonstrated expertise in machine learning, especially in the context of dynamical systems modeled by differential-algebraic equations. Experience with high-performance computing and the
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comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Center for Advanced Infrastructure and Transportation
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offers a unique opportunity to collaborate with industry partners, publish high-impact research, and help translate cutting-edge materials science into practical, scalable packaging innovations
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: 2023220 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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phase-change heat transfer, micro/nano fabrication (photo or e-beam lithography), and optical imaging. The primary responsibility is to study liquid film dynamics during phase-change processes such as
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Associate: Physics and Astronomy. Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in High Energy Physics or a closely related field in hand by the start
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performance. The salary is commensurate with experience. Applications are invited from individuals who are interested in applying experimental psychology and Bayesian computational modeling to understanding
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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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Communications and Data Analytics to develop high-quality scientific content, oversee publication strategies, and contribute to data-driven storytelling that advances the DRI’s mission. CORE JOB FUNCTIONS Draft
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances