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Health, TriNetX, or similar oncology datasets. Knowledge of survival analysis, longitudinal data analysis, mediation analysis, latent class analysis, predictive modeling, machine learning, and causal
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(GEMINI) Center is recruiting a Postdoctoral Associate to the Division of Translational Health Sciences. The position will be focused primarily on implementation science projects, data analysis
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Biomedical Engineering, Computer Science, Medical Physics, Computational Biology, Data Science, or a related quantitative discipline. Experience in computational image analysis, digital pathology
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Analysis & Interpretation Analyze complex neurophysiological data derived from SEEG recordings, intracranial stimulation studies, and sleep evaluations. Apply quantitative and analytical approaches to
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-dimensional data, prediction of clinical outcomes, and meta-analysis methodology. These efforts are expected to result in collaborative and methodological publications in high-quality, peer-reviewed
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morphometry Machine learning and deep learning for CT image analysis and reconstruction Computational and digital-twin models for preclinical imaging Analysis of longitudinal and dynamic imaging data
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research clearly, and navigate sensitive conversations with compassion is essential to success in this position. The role also offers opportunities to contribute to data analysis, manuscripts
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cardiorespiratory diseases. The main duty included performing sample analysis using HPLC and HPLC-MS-MS, conducting data analysis, and writing manuscripts. Other minor duties include assisting with grant
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methods to suit the model, data structure, and scientific question. Experience with Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific
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related discipline. Demonstrated experience with experimental design, data analysis, and scientific communication. Ability to work effectively in a collaborative research environment. Preferred