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Field
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amazing benefits and perks (available for benefits eligible positions only ): Health: Medical, Dental and Vision plans available for qualifying staff and family Holiday, Vacation and Sick Leave Education
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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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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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engineering, you will play an integral role in shaping MDLS’s evolving vision to redefine the possibilities of biotechnology. MDLS offers a dynamic, collaborative, and well-resourced environment, with access
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toward integration of hydropower with battery storage and other technologies. Computational and analytical skills : Demonstrated ability in selecting and deploying machine learning tools (Random Forest
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transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”. The section 4.4 Hydrology (department “Geosystems”) offers a
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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/biomechanical analysis, computer vision approaches to pose tracking from video, surface electromyography (EMG) recording and analysis, vocal recording and analysis, dataset preparation, time-series analysis
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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annotation, and emerging machine-learning and generative methods for spectra or structure proposals. Evaluate and test emerging technologies (hardware and software) in close interaction with collaborators and