29 estimation-methods Postdoctoral positions at Duke University in Ireland-University-Ranking-2024
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Advance Computational Behavioral Analysis Develop and validate automated methods for analyzing caregiver-child interactions using computer vision, multimodal machine learning, and artificial intelligence
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and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across several NIH-funded
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preferred. · Demonstrated experience with species distribution modeling and/or abundance estimation, including habitat suitability modeling, distance sampling, occupancy modeling, capture-recapture methods
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modeling and analysis. Ability to select, implement, diagnose, and adapt parameter-estimation or statistical-inference methods to suit the model, data structure, and scientific question. Experience with
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Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high-dimensional data, prediction
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-conscious methods. HARP is led by Dr. Jana Schaich Borg, Associate Research Professor in the Social Science Research Institute. The core development team includes Dr. Rick Hoyle, Professor of Psychology and
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/or quantitative methods expertise. Experience with implementation science. Experience using statistical or qualitative software. Other Requirements: Full-time, one-year fellowship (renewable based
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will lead the execution of the experimental plan, work on the design of the data analysis methods, and perform the appropriate computational analyses. You will perform literature searches and use them
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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activities. Create scientific figures, model visualizations, and technical documentation. Contribute to methods development and reporting for peer-reviewed publications and conference submissions. Preferred