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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Transportation & Logistics (CTL) - Intelligent Logistics Systems (ILS) Lab, will conduct independent, publishable research; contribute
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learning, artificial intelligence, and related fields. Your research can be theoretical, applied or both. We offer independent positions within the groups of experienced supervisors, with opportunities
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an intelligent DAS-based monitoring system for railway infrastructure anomalies and rolling stock integrity, with a focus on the detection and monitoring of defects in bonded insulation joints and switch tip
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to origins of life research, artificial intelligence methods development, evolutionary biology, and computational biology.Prof. Kaelber is recruiting a “dry lab” scientist for methods development in
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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performance in intelligent networked systems. The appointee is expected to make significant contributions to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving
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Department's Website: EECS Department Website: https://engineering.uark.edu/electrical-engineering-computer-science/ Artificial Intelligence and Computer Vision Laboratory Website: https://uark-aicv.github.io
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on next-generation communication and sensing technologies for enhancing safety and performance in intelligent networked systems. The appointee is expected to make significant contributions
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Overview: A postdoctoral position is available in the laboratory of Dr. Salil Garg (https://medicine.yale.edu/profile/salil_garg/ ), Assistant Professor in the Yale School of Medicine. The Garg
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excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences