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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
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student and faculty innovation and entrepreneurship that make a difference in the world. Expectations An ideal candidate will: Have a prior track record of publications at standard ML or robotics venues Be
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of characterization tools (electrical, optical, x-rays, surface science, spectroscopy, microscopy, etc.) Solar device/stack engineering As a formal qualification, you must hold a PhD degree (or equivalent). You are
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close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a set of sensors (LiDAR, RGB, IR, and Spectrometer) that enable advanced plant measurements
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seeking an exceptional Postdoctoral Associate to conduct research in digitally knit robotic textile interfaces for edema rehabilitation .The Postdoc will work closely with Prof. Dr. Cindy-Hsin-Liu Kao
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researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
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required to combine diverse properties for advanced applications in consumer, biomedical, and robotic soft materials. This position is full-time (100% FTE) and will be an initial 12-month appointment with a
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Laboratory (ORNL) and Department of Energy (DOE) mission. Selection will be based on qualifications, relevant experience, skills, and education. This position resides in the Manufacturing Robotics and Controls