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27710, United States of America [map ] Subject Areas: Biostatistics / Biostatistics and Data Science Data Science / Machine Learning Statistics / Statistics Appl Deadline: none (posted 2025/02/12
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) and bioinformatics tools Familiarity with data science, machine learning, artificial intelligence, natural language processing and applications to electronic health records and big data and
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novel statistical methods motivated by medical research needs Solid background in causal inference and survival analysis Experience with clinical trial research, machine learning, and high-dimensional
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
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behavioral assays related to reinforcement learning and neuropsychiatric disease models. • Combine DART with modern imaging and behavioral tools to examine neurobiological mechanisms. • Analyze data, document
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many opportunities to learn new and advanced state of the art techniques and strengthen their grant and fellowship application skills. In addition, the candidate will have a broad range of local and