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Field
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twelve months] Duties The appointees will assist the project leader in the research project - “An augmented reality and digital twin-enabled human-robot collaborative manufacturing systems”. Qualifications
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, population health monitoring, workforce development and leadership, policy, and advocacy. Background The Robotics, Autonomy and Machine Intelligence (RAMI) Group led by Prof Nabil Aouf is dedicated to fulfil
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the project leader in the research project - “Methodologies for rapid reconfiguration of human-robot collaborative assembly production line towards human-centric smart manufacturing”. Qualifications
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Posting Details Posting Details Position Number: 11040119 Title: Post-Doctoral Associate Functional Title: Maryland Robotics Center (MRC) Postdoctoral Fellowship Category Status: 15-Fac.Non-Tenured
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on developing safe interactive navigation and manipulation capabilities for mobile robots operating in complex, dynamic environments. The research fellow is expected to contribute to the following key aspects: a
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 hours ago
diverse and vibrant colorectal practice. We have a clinical focus on minimally invasive techniques for colorectal cancer, including robotics, transanal total mesorectal excision (TaTME), transanal
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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technology, signal processing, and applied robotics. In addition to advancing their own independent research, they will coordinate and integrate contributions from collaborators to ensure the project
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, scalable solutions that advance the field of soft interconnects and accelerate their integration into next-generation biomedical and robotic platforms. Key Responsibilities: Conduct research collaboratively
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twelve months] Duties The appointees will assist the project leader in the research project - “A multimodal intelligence-enabled strategy learning approach for cognitive human-robot collaborative assembly