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sources of bias, overfitting, and data leakage. Develop performance visualizations and communicate findings to stakeholders. Research Data Analysis & Clinical Integration Integrate imaging-derived
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deep learning for CT image analysis and reconstruction Computational and digital-twin models for preclinical imaging Analysis of longitudinal and dynamic imaging data Development and validation
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. This position is best suited to those who enjoy statistics, coding, manipulating and visualizing data, and other quantitative analysis tasks. Work Performed The new researcher will leverage knowledge and skills
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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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will help advance novel imaging technologies, analyze complex medical imaging data, and contribute to research that has the potential to improve patient outcomes worldwide. What You'll Do: Conduct
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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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, Medicare/Medicaid claims, PCORnet, Epic Cosmos, Flatiron Health, TriNetX, or similar oncology datasets. Knowledge of survival analysis, longitudinal data analysis, mediation analysis, latent class analysis
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Bayesian statistical frameworks. Develop innovative statistical methodologies related to clinical trial design, variable selection in high-dimensional data, prediction of clinical outcomes, and meta-analysis
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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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the HARP Student Fellows program and through leading focus groups. Primary Responsibilities ● Lead the experimental design, data collection, and data analysis of initial studies assessing the impacts