121 computer-science-programming-languages-"the"-"U"-"O.P"-"UCL" positions at Oak Ridge National Laboratory
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mathematics and scientific computing. This prestigious postdoctoral fellowship is supported by the Applied Mathematics Research Program in the U.S. Department of Energy’s Office of Advanced Scientific Computing
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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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(UAS/UAV). Demonstrated experience with uncrewed systems and/or robotics. Degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Engineering, Robotics, Aviation
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/ computational science or related field completed within the last five years. Experience in AI/ML. Skills in a programing language are commonly used in AI/ML. Preferred Qualifications: Deep experience in
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Requisition Id 15348 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a
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scientists and engineers who have excelled in their academic and professional subject areas and show promise as future science leaders. The program offers highly sought-after fellowships in various research
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Requisition Id 15349 Overview: The Workflow Systems Group in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a staff fellow with expertise in
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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at national scientific meetings Ensure compliance with environment, safety, health, and quality program requirements Take a position of leadership for day-to-day laboratory operations Participate in project
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, earth sciences, geospatial science, computer science, or a closely related field, completed within the last 5 years. Preferred Qualifications: Prior knowledge and demonstrated expertise in one or more of