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, the Robot Operating System (ROS), the Gazebo simulation environment, and multiple programming languages (e.g., Python, C++, Java) and Data Science, including designing algorithms; Experience with
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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are poised to re-define our future mobility. However, full autonomy is not possible without all-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms
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epidemiologic patterns as swine IAV is transmitted among hosts and across landscapes will be quantified. The participant may also have the opportunity to be involved in the development of novel algorithms
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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will be responsible for programming and maintaining gait exoskeleton systems, developing and implementing real-time control algorithms in C/C++, Python, and Simulink, as well as integrating feedback from
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models and methods to collect, summarize, analyze, and interpret trends and patterns in complex data sets. Applies statistical theories to aid in the solution of research problems. Manages multiple large
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appointment information, and directions. Coordinate services across multiple DUHS and PDC clinical locations, departments, and providers. Service oriented tasks are transactional, and productivity based
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work with Benjamin Gyori at Khoury College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and
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optimization methods for implementation within the framework of the objectives of the doctoral thesis, starting with the exploration of methods based on genetic algorithms. Explore the possibilities