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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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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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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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, 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 9 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