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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 9 hours ago
relatively repetitive steps to validate findings from theoretical calculations. Autonomous labs or self-driving laboratories can combine AI and automatic robotic operation to intelligently conduct experiments
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researcher with a grant. Join the VUB AMGC team (Archaeology, Environmental changes and Geo-Chemistry) and the FLAIR research group (Federated Labs AI and Robotics) for the ARCHAI project, which explores
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digitalization of the built environment. Applicants must hold a PhD in Civil Engineering, Construction Engineering and Management, Computer Science, Cybersecurity, Electrical Engineering, Robotics, Artificial
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involving large companies under the “Autonomous Systems, Robotics, and Machine Tools” track of the IASMIN Platform (a FAPESP Applied Research Center in AI). The work is to be carried out on-site
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research group (Federated Labs AI and Robotics) for the ARCHAI project, which explores the crossover between artificial intelligence and Archaeological Prospection. Archaeological prospection faces
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positions. The postdocs will support an exciting new project that is focused on autonomous, soft, tip-extending robots for stroke treatment. The overall goal is to enable fully autonomous navigation
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PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, computer science, or a related field Experience operating and troubleshooting laboratory automation
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candidates with one or more of the following experiences: Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior
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. These projects span topics including the relationship between food production, environmental impact, and human health, as well as developments in agricultural robotics and automation. This environment offers broad
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: ● Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG