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Field
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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AI hardware to help solve significant real-world problems using machine learning and deep learning. ALCF researchers work in a highly collaborative environment involving science application teams
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participation in proposal writing. Her/his technical proficiency should encompass isotope geochemistry, hydrogeology, and numerical modeling. A deep understanding of serpentinization processes, including water
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. The Postdoctoral Associate will participate in a cross-disciplinary research team comprised of faculty Co-PIs, a research director, PhD students, and several Master’s or undergraduate students across multiple
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the ability to design and implement novel artificial intelligence algorithms. Examples of research directions could include: multimodal foundational models for biomedical data, deep-learning architectures
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to the wider public and to CBS’s stakeholders in particular, including participation in the public debate to promoting CBS’s academic reputation. Qualifications The applicant must hold a PhD or the equivalent
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apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral scholar will include aiding the research of graduate students on NLP+ML projects and leading
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discipline. The candidates will have expertise in computational imaging, with: (i) an algorithmic focus, with particular interest in methods at the interface of deep learning and optimisation theory, and/or