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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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in living cells and ensure high-quality, reproducible results. Process and analyze high-throughput sequencing data, including the lab’s DMS-MaPseq pipeline, while developing computational workflows
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Models: Perform microsurgeries and longitudinal studies using small animal models of myocardial infarction or heart failure to evaluate therapeutic outcomes. Data Acquisition: Utilize advanced imaging (e.g
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learned to support reproducibility and future research activities. Support the integration of research outcomes into prototype systems, operational demonstrations, or technology transition activities
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about 3D Science implementation in secondary science classrooms. Manages qualitative research projects with attention to trustworthiness, audit trails and recordkeeping, and collaborative processes with
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review process. You may upload these documents on the application under CV/Resume. Why Texas A&M University? Texas A&M University is committed to enriching the learning and working environment by promoting
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/Resume to assist us with the review process. You may upload these documents on the application under CV/Resume. Responsibilities Research Under general supervision, is responsible for conducting research
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supervision, this position is responsible for conducting multi-proxy analyses of legacy Antarctic sediment cores housed at the Gulf Coast Repository, including sedimentological, geochemical, and imaging-based
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-driven control for autonomous vehicle systems with an emphasis on 5G/6G Open RAN (near-RT RIC, xApps/rApps) and vehicular edge computing. The postdoc will design and evaluate networking architectures and
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process. You may upload these documents on the application under CV/Resume. Why Texas A&M University? Texas A&M University is committed to enriching the learning and working environment by promoting a