281 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Texas at Dallas
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fusion of cultures and experiences. Faculty in the Information Systems area are very research-active, and regularly publish in the leading outlets. In addition to a strong doctoral program, the area houses
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) Posting Open Date 10/07/2025 Posting Close Date 11/06/2025 Open Until Filled No Desired Start Date Job Summary Position Description The Public Policy and Political Economy program at the University of Texas
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of Engineering and Computer Science at The University of Texas at Dallas invites applications for tenured/tenure-track faculty positions in Mechanical Engineering at the Associate and Assistant Professor levels
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School of Engineering and Computer Science at The University of Texas at Dallas invites applications for tenure/tenure-track faculty positions in Mechanical Engineering at the Associate and Assistant
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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that advances knowledge in one or more areas such as: Urban planning, urban growth, and development dynamics. Geospatial AI, smart cities, digital twins, and other computational methods in urban analytics
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Posting Close Date 12/01/2025 Open Until Filled No Desired Start Date 08/01/2026 Job Summary Position Description The Department of Bioengineering in the Erik Jonsson School of Engineering and Computer
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Posting Close Date 11/15/2025 Open Until Filled No Desired Start Date 08/01/2026 Job Summary Position Description The Department of Bioengineering in the Erik Jonsson School of Engineering and Computer
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. The Hydrology and Environmental Earth Science position requires leading expertise in surface and groundwater fluid flow, plus computational modeling and inversion; preferred experience includes aqueous