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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
NSF-funded Artificial Intelligence(AI) Institute involving researchers at MIT, Harvard, Northeastern, Tufts, and Boston University. The full job description is available, here: https://web.mit.edu/lns
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researchers on a range of topics, including artificial intelligence, RF sensing and communications, multimodal UB RF signal data analysis, and wireless sensing network architecture design and optimisation. It
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(UWB) RF sensing, localisation, and vital sign recognition. The successful candidates will be working with a team of researchers on a range of topics, including artificial intelligence, RF sensing and
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, an interdisciplinary effort at the interface of genomics, artificial intelligence, and biophysics. The project aims to elucidate the mechanisms governing DNA replication initiation in metazoans by combining deep
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of appointment. Demonstrated excellence in teaching is essential. Scholarly and service activities are expected. Strong candidates will have a solid background in artificial intelligence and/or
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of the CEFE in community ecology and species distribution models with that of IMAG in probability, statistical learning, and model validation. This project falls within the scope of statistical artificial
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develops interdisciplinary programmes in a range of strategic areas, including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and
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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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) at Rutgers University, Newark, invites applications for a faculty position at the assistant or associate professor level in the governance, policy, and management of artificial intelligence. The appointment
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and will launch a new master programme, MSc in Mathematics for Artificial Intelligence Technology in 2026/27. Members of the Department have expertise in applied optimization and optimal control