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Field
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intelligence and machine learning, algorithms and theory, databases and information systems, computer architecture, embedded and cyber-physical systems, computer vision and graphics, programming languages and
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: Develops advanced Agro-geoinformatic algorithms for monitoring and predicting the conditions of crop, pasture, and their environment with advanced remote sensing and geospatial technologies; Develops and
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Group (https://squis.snu.ac.kr/ ) at Seoul National University (SNU) invites applications for Research Fellow (postdoctoral or senior) and/or Research Professor (assistant or associate level) position(s
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the world. For more information about the College of Natural Sciences, please visit https://cns.utexas.edu . The university also offers an impressive benefits package. For more information, see Prospective
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
world. Position Summary The postdoctoral researcher will conduct advanced research in artificial intelligence (AI) and machine learning, with a focus on developing novel algorithms and systems. The position offers
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School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a
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hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
, including high performance computing (HPC) clusters, local or cloud resources, large-scale storage, machine learning algorithms, deep learning techniques, and neural network design Grant Proposal Assistance
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record dosimetric information, involvement in informatics development and direction. The opportunity exists for a limited participation in educational activities, if these activities are compatible with
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with the PI in the development of analytical strategies to achieve the laboratory goals, including optimization of current algorithms used to determine transcription factor binding dynamics, pseudotiming