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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about
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developing and delivering research proposals • Potentially co-develop or co-teach courses in IE Required Qualifications • Ph.D. or equivalent degree in Industrial Engineering, Statistics, Computer Science
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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or Environmental Engineering or a related field, including hydrologic and earth sciences, systems analysis, data and information science, or hydroclimatology. Demonstrated expertise in hydrologic modeling. Ability
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Job Description The Department of Computer Science, the Department of Electrical and Computing Engineering, and the Innovation Campus at Virginia Tech will be jointly hosting a Postdoctoral
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Apply now Job no:502196 College / VP Area: College of Arts & Sciences Work type:Staff Location:Newark, DE Categories:Research & Laboratory, Full Time Salary Structure CONTEXT OF THE JOB
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: 276110766 Position: Postdoctoral Research Associate Description: A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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priorities and work demands. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant
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at cutting-edge chemistry, physics, and materials research. Ames National Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials