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Field
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to maintain the security and integrity of critical infrastructure, which may include communications systems, computer networks and systems, cybersecurity systems, electrical grid, hazardous waste treatment
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with developing distributed programs on high-performance computing systems. Experience in data assimilation and machine learning. A track record of publications in well recognized journals. Special
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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while using a computer keyboard and phone. Occasional standing, walking, climbing stairs, bending, stooping, and reaching. Occasional lifting up to 25 pounds. Work is performed during standard hours
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while using a computer keyboard and phone. Occasional standing, walking, climbing stairs, bending, stooping, and reaching. Occasional lifting up to 25 pounds. Work is performed during standard hours
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driving simulators (e.g., CARLA, SUMO) or robotic simulation environments (e.g., Isaac Sim, Gazebo). Experience with ROS or ROS 2. Experience with PyTorch or other machine learning frameworks. Hands
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program
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of faculty at SUNY Polytechnic Institute and the University of South Florida, consisting of mathematicians, physicists, computer scientists, and engineers investigating applications of deep learning
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, Bash). Experience working in a Unix/Linux environment, including setting up and managing High Performance Computing (HPC) clusters. Familiarity with metagenomic data analysis and machine learning