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Computational Translation at Yale (IMPACT-Y) study. This large-scale, longitudinal project is designed to advance computational psychiatry by integrating mechanistically informed behavioral tasks with theory
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collaborating across disciplines. Experience with one or more of the following is highly desirable: Large-scale genomic, clinical, imaging, or other biomedical data Haplotype/IBD algorithms, pangenome graphs
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receive advanced training in: Statistical genetics and multi-omics integration Deep learning for regulatory genomics Single-cell and spatial transcriptomics Large-scale data engineering Training is highly
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at the intersection of emotion science, psychometric assessment, and large-scale intervention research. The projects will investigate the development and validation of novel measures of emotional skills and emotion
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of structured RNAs and candidate mammalian riboswitches. Analyze large-scale genomics and transcriptomics datasets. Apply statistical, evolutionary, and machine learning approaches to identify conserved RNA
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target trial emulation. Experience designing and conducting analyses in large-scale health datasets derived from electronic health records, administrative claims, or other routinely collected data. Strong
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The discovery of existing datasets relevant to a scholar’s research is a daunting task, made more complicated by a lack of standards in descriptive practices, the size of datasets, and the scale and
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aquatic systems, including inland waters, vegetated wetlands or both. Warming is changing, and generally increasing, the emissions of methane from anaerobic systems, yet the production, consumption and
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. Responsibilities The postdoctoral associate will – based on their research interest – contribute across one or more of the lab’s five core themes: Genomic Technology: Design and execute new, large-scale experimental
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. Warming is changing, and generally increasing, the emissions of methane from anaerobic systems, yet the production, consumption and transport pathways are poorly understood. In addition, interactions