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State University, in collaboration with engineering and political science faculty, to implement an existing research program defined in the DigiCARES strategic plan that advances justice-enhanced
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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simulated and measured results to assess quantities of interest. Interface with world-class exascale computing clusters. Work with a dynamic team of researchers, developers, experimentalists, and model
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, and evaluation in distributed and privacy-aware settings. While the position is supported by an AI for Science project on privacy-preserving federated learning, the broader objective is to advance
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reimbursement program (if eligible) Our Employee Benefits TTI employees can choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as
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team, leverage the new cancer outreach and education mobile van to distribute information and provide training about cancer prevention and screening, identify community resources for referral and
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adversarial AI and out-of-distribution detection. The successful candidate will have a strong track record in top-tier AI publications, outstanding presentation and leadership skills. Responsibilities
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doctoral degree in Computer Science or Biomedical Informatics or a closely related quantitative field. The successful candidate demonstrates documented expertise in machine learning and distributed
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volumes in frozen cell sections, providing unprecedented maps of the distributions of small molecules within the cell. Determining the spatial distribution of small molecules within cells is crucial
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computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other