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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning frameworks such as PyTorch or TensorFlow. Excellent
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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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research experience in conducting experiments for field robotic systems Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice Experience in
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, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials
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include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory
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experience in embedded, real-time software in C/C++ and Python with several years of practice Experience in maintaining high-quality code on Github Ability to visualize experimental results Effective inter