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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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Engineering” (Q-SEnSE), and the DOE “Quantum Systems Accelerator” (QSA). As a QIS theory-hub, QNM-I brings together community through hosting visitors, seminars, hot-topics workshops, and as the scientific
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and Literature, Germanic Linguistic, German as a Foreign and Second Language, and German Teaching Methodology. In addition, the areas of Gender Studies, Cultural Studies, Media Theory, Literary Theory
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the department and the funding agencies. The successful candidate will join the Machine Learning & Data Science research group and conduct research on the mathematical theory of deep learning as part of the joint
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of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides
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. Prepares research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state
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researcher to start in February 2026. The primary responsibility of the postdoc is to perform basic or applied research of a limited scope, primarily using existing theories and methods, ensuring
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. Candidates with expertise in related areas, such as lattice field theory algorithms, machine-learning methods for lattice field theory, hadron spectroscopy, or hadron-structure phenomenology, are encouraged
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study across the human sciences because of its importance for individuals and societies. Sociological and demographic research has developed numerous theories of fertility and produced a sophisticated
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. The position is intentionally interdisciplinary. We welcome candidates from control theory, nonlinear dynamical systems, applied mathematics, electrical or biomedical engineering, physics, computational science