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are not limited to: (1) Embodied AI and Machine Learning for Robotics; (2) Multi-Robot Systems; (3) Human–Robot Interaction; and (4) Robot Perception and Sensor Fusion. The selected candidate is expected
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: Collaborative Localization and Sensor Integration This PhD position will focus on developing and integrating methods for collaborative localization and sensor fusion in the ABBA USV system. The goal is to enable
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Princeton Plasma Physics Laboratory Apprenticeship is the first-in-the-nation registered apprenticeship program in fusion energy and engineering. It is designed to equip the next generation of
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tandem. How to apply: please specify that the project is withiin the Fusion Engineering CDT and apply though this link https://www.bristol.ac.uk/study/postgraduate/apply/ Funding notes This project is part
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-sensor data fusion. AI-enabled monitoring and control: closed-loop strategies (e.g., MPC, adaptive and learning-augmented control) with emphasis on robustness and constraints. Are you motivated to take a
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of biopharmaceuticals Deep learning and sensor technologies for fusion-based object detection and classification Deep learning for biological sequence analysis (e.g., generative AI for splice site modeling) Deep learning
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/mapping; examples may include edge computing & real-time sensor fusion for perception, intelligent path planning, human-machine interfaces, etc. AI/ML-enabled approaches to microbiome science related
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of fusion energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences
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toughest science and technology challenges using plasma, the fourth state of matter. With more than 70 years of history, PPPL is a leader in the science and engineering behind the development of fusion
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. The primary responsibilities and tasks are: Conduct research in robust positioning methods utilizing GNSS with emphasis on signal- and data processing algorithms and fusion with other sensors with emphasis