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Engineering, Physics, or a closely related discipline, within less than 5 years post receiving their PhD. The candidate should have a strong research background in at least one of the following areas: solid
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, reviewing and grading exercises/exams, etc. To provide mentoring and support to students. Applicants must have received a PhD in engineering, computer science, urban science, applied mathematics, or a related
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integrating environmental monitoring data, fisheries information, habitat datasets, and field observations to identify the ecological drivers of productive fishing grounds. Responsibilities include developing
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to identify the ecological drivers of productive fishing grounds. Responsibilities include developing habitat characterization workflows using combinations of bathymetric datasets, side-scan sonar, remotely
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications
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theories, with the development of the mathematical constructions that are needed to provide such descriptions, and uncovering new geometric and topological structures arising from physical phenomena in high
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students. Applicants must have received a PhD in engineering, computer science, urban science, applied mathematics, or a related field, with less than five years post recieving the PhD. Experience in
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Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one
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and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required
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Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology