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Field
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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, such as Psychology, Cognitive Science, Neuroscience, Biomedical Engineering, Computer Science, Psychiatry, Radiology, and Neurology, or General Medicine. Preferred Qualifications: Prior research experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 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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graph theory. Qualifications Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are welcome to apply
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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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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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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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: 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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: · 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