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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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to the discovery of dozens of classes of bacterial riboswitches and other structured noncoding RNAs. We are now applying similar genome-scale discovery methods to identify functional RNA regulatory elements in
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-related mindsets; the mechanisms and moderators of emotion-focused interventions; and the design and analysis of large-scale digital and app-based research. The position also includes a role in supporting
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. This interdisciplinary project builds on the laboratory’s recent discovery of the first riboswitch candidates in humans and other mammals. The successful candidate will help investigate how these RNA elements function in
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to medical imaging and clinical data Quantitative analysis of CT, MRI, and other imaging modalities Multimodal and longitudinal data analysis Development and validation of imaging biomarkers Translational
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, an understanding of computational data analysis is highly encouraged and supported. Research activities may include: Culture and maintenance of mammalian cancer cell lines and our established pre-clinical platform
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). Maintain rigorous experimental documentation, data management practices, and reproducible analysis pipelines. Present results at lab meetings, departmental seminars, and scientific conferences; contribute
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clinics in rural Alabama. The successful candidate may have the opportunity to contribute to other projects in the U.S. South focused on HIV prevention. Key Responsibilities Data Analysis and
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focused on HIV prevention. Key Responsibilities Data Analysis and Interpretation • Contribute to design, execution, and ongoing optimization of the hybrid trial evaluating COAST-AL
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histological and multiomic analysis of MS brain tissue to elucidate cellular and molecular mechanisms underlying demyelination and neurodegeneration. The laboratory is embedded within a highly collaborative