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for large-scale and distributed systems. The role focuses on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position
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About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis for large-scale and distributed systems. The role focuses
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architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines
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employers. About the Global Campuses The university campuses operate as a distributed global network. For example, new programs may be developed and established at one of the network campuses, enhanced
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-scale epidemiological datasets using statistical and machine learning methods Conduct systematic literature reviews and meta-analyses on disease dynamics topics Develop and validate predictive models
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work with Benjamin Gyori at Khoury College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and
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systems, including data protection, model security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization
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for designing and predicting quantum materials/systems/devices; error correction and fault-tolerant architectures; novel quantum algorithms for near-term and fault-tolerant quantum computing; quantum advantage
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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adversarial AI and out-of-distribution detection. The successful candidate will have a strong track record in top-tier AI publications, outstanding presentation and leadership skills. Responsibilities