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, including a track record of contributions in decision-making under uncertainty robotic exploration and mission planning under epistemic uncertainty. You will have knowledge or experience in modelling and
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discipline. * Growth Mindset & Curiosity: Broad technical curiosity with a willingness to rapidly learn and bridge technical knowledge gaps (whether on the AI software side or the physical robotics/polymer side
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scientific writing. Assessment criteria For this position, special consideration will be given to: Knowledge of or experience with investment projects involving industrial robots, collaborative robots
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robotic middleware (e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic
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to research activities in communication-aware robotics, with a particular focus on autonomous and networked robotic systems, including unmanned aerial vehicles (UAVs). The research will explore the joint design
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developing algorithms for robot navigation, path and trajectory planning, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware
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, and public service. Job Description Purpose: We are seeking a Postdoctoral Research Associate to design and build the automation system for the Autonomous Robotic Metallurgist (ARM), an NSF Materials
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for neurovascular interventions. The successful candidate will develop and evaluate medical robotic systems with artificial intelligence capabilities for vascular navigation using catheter and guidewire technologies
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altitude balloons, swarm-capable dropsondes, robotic ocean expendables, etc). Impact can be realized through numerical and AI modeling, heightened situational awareness, optimized sampling, and greater
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science or similar area is required. The candidate is expected to have a profound knowledge on the majority of the following topics: Embedded systems programming Robot Operating System (ROS) experience Medical imaging