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, engineering, computer science, and machine learning. The postdoctoral fellow will assume scientific leadership for one observatory site and will: Lead site commissioning, including performance verification and
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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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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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
holography. We are seeking a highly motivated postdoctor-al researcher to join our multidisciplinary team at the intersection of optics, electronics, machine learning, and atmospheric science. The successful
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to science. This is the first large-scale study of its kind, and your results will establish a legacy of scientists working with funding councils to defend their research. Cutting-edge machine learning
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Job Title Postdoctoral Research Associate in Computational Geophysics Agency Texas A&M University Department Geology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type
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. As a Carnegie Doctoral/R2 institution, our world-class scholars instruct about 26,000 students in associate's, bachelor's, master's and doctoral level degree programs. Whether you are seeking the charm
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jul-25 Location: Brooklyn, NY Categories: Academic/Faculty Internal Number: 170220 POSTDOCTORAL RESEARCHER EMERGE
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high