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Field
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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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microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
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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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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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-efficient hardware design for next-generation aerial robotics. The selected candidate will play a central role in designing lightweight, energy-optimized electronics that enable long-endurance, power
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, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students, engineers, and academic staff across interdisciplinary domains. Leading publications in top
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research in drone autonomy, sensing, and cooperative multi-agent systems. Designing, implementing, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students
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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
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The main objective of this work is to develop an intelligent control and coordination module for robotic
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conducting experiments in both simulation and real-world robotic systems. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent