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Field
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Artificial Intelligence (PAI). PAI drives AI activities for the CoSTAR National Lab for R&D in Creative Technology, led by Royal Holloway (University of London), a £51m investment by UK Government to give the
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established a position for a Postdoctoral Researcher focused on work at the intersection of artificial intelligence and Responsible AI, NLP & IR 3.0, Health/Wellness, and/or Life Sciences. The Postdoctoral
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holder must have: Expertise in advanced theoretical and computational electromagnetics, including high frequency asymptotics. Expertise in artificial intelligence and machine learning. Recent research
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Postdoctoral Fellow to advance cutting-edge research at the intersection of artificial intelligence (AI), natural language processing (NLP), digital health, and health equity. This position is funded by the UBC
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schemes and reduce economic harm. Consequently, organizations are now looking to artificial intelligence (AI) to enhance AML capabilities. AI-driven solutions can learn from vast datasets to spot hidden
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The successful candidate is required to have: completed the doctoral degree (PhD) within the fields of Computer Science or related disciplines, such as Human Computer Interaction, Artificial Intelligence, Music
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Kunsthistorisches Institut in Florenz - Max Planck Institute, Berlin, Germany | Germany, | Germany | 3 months ago
, artificial intelligence, the digital transformation, and the future of museums. 4A_Lab connects disciplines, collections and institutions. It attempts to foster dialogue and exchanges between disciplines, and
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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A postdoctoral fellow position is available in Haiming Cao’s laboratory in the Cardiovascular Branch of the National Heart, Lung, and Blood Institute (NHLBI), NIH. The Cao lab integrates artificial
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science and artificial intelligence to understand the time-course of naturalistic scene understanding. We are especially excited about applicants who enjoy: (1) working with large, real-world datasets, (2