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Field
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consequences of reliance on algorithmic approaches to public policy implementation; methodological development at the intersection of social science and AI/machine learning. It is advantageous to have expertise
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was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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machine learning algorithms, the system will be designed to recognize and characterize building activities, occupancy patterns, environmental conditions, and other indicators relevant to the operation of
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learning algorithm that leverages information contained in low-amplitude gravity perturbations (coined PEGS for Prompt Elasto-Gravity Signals, Vallée et al., 2017) to provide rapid unsaturated magnitude
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control algorithms and optimization frameworks for adaptive neuromodulation strategies aimed at stabilizing sleep and mitigating seizure burden. Pipeline Development & Data Curation: Build, automate, and
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, professional practice, and pedagogy. Relevant areas for research specialization include but are not limited to AI-mediated advertising and persuasion, human-AI interaction, generative AI, algorithmic and
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for pricing complex derivatives and risk measurement, numerical optimization algorithms for portfolio optimization and calibration of financial models. We will focus on practical applications to real-world
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models
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computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks