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Field
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key element of the two-beam acceleration concept Emphasize Bayesian optimization approaches and integrate these methods into the facility control system Design, execute, and analyze accelerator
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). Preferred Qualifications: Knowledge of Approximate, Local, Rényi, Bayesian differential privacy, and other
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methods to ultimately let dermatologists continually update multi-modal machine learning models. Our research objectives are to 1) develop novel model editing methods for multi-modal models, with a focus on
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adults in South Africa, Zimbabwe, and Malawi. You are someone that is capable of keeping your team on track to meet deadlines and research objectives. You already have a publication record, and at IHME
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
completed prior to starting the traineeship. Required Qualifications, Competencies, and Experience Candidates must have completed, or be on track for completing, a doctoral degree. Interests and expertise
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communication and collaboration skills Preferred: Experience with simulation-based inference and Bayesian methods Familiarity with cosmological simulations or observational cosmology ML architecture design and
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transportation challenges and opportunities with innovation, objectivity, and unmatched technical expertise. Our staff delivers excellence, value and thought leadership to ensure our research sponsors achieve
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. Prior exposure to experimental data from photon-counting or time-resolved detectors. Experience with Bayesian methods, uncertainty quantification, or real-time data processing. Familiarity with