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utilize AI tools for language analysis and materials production; (d) prepare and publish high-quality research articles with staff members of the University; and (e) perform any other duties as
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to identify molecular processes associated with variation in brain morphology, connectivity and function. The fellow will work at the interface of neuroscience, statistical genomics and computational analysis
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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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quantitative research methodology and advanced statistical analysis, including experience with large longitudinal or population-level datasets Background in at least two of the following areas: epidemiological
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outcomes. Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data
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approach that has been developed in the learning sciences over the last 30 years. It implies that researchers and practitioners collaborate in the design, implementation and analysis of the project
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models, with the help of our Engineered Mouse Model Core Facility. Evaluate transcriptome perturbations using next-gen sequencing analysis, RT-PCR, and qPCR. Characterize mouse neurodevelopmental
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related discipline; The candidate must have 4+ years of research experience in social media mining, computational modeling of social science theories, working with social network analysis tools, and
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, integration, and analysis of large, diverse datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through
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for analysis and publication. They will also contribute to the development of new prospective clinical studies, including the establishment of standardized clinical databases and biospecimen collection pipelines