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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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Research Assistant Professor – Computational Organic Chemistry Chemistry - Pennsylvania-Pittsburgh - (25002825) Research Assistant Professor – Computational Organic Chemistry Job Description: A
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information Science
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering
: 6380074 University of California Irvine Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering Position overview Salary range: The salary range
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics