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Field
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About the Opportunity Northeastern University has established a Postdoctoral Researcher position dealing with cutting-edge research in the theoretical and applied aspects of resilient artificial
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demonstrated record of excellence in advancing artificial intelligence, characterized by a strong publication history in top-tier venues and a research background outlining significant contributions to AI
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international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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/reactions, with increasing emphasis on using artificial intelligence and quantum information science. The group has access to extensive laboratory and national computational resources and has significant
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Position Description Postdoctoral position in AI for Computational and Mathematical Biology–Qiu Lab Position Summary Postdoctoral researcher positions in Artificial Intelligence (AI
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health, artificial intelligence, and data science applications to healthy aging and caregiving Our Research Community The fellow will join an interdisciplinary consortium that brings together investigators
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales