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Field
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research agenda. The ideal candidate will have experience conducting program evaluations and designing research projects related to education policy issues. NIH funded postdoctoral positions are available
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discovery to join our interdisciplinary team focused on understanding antibody-antigen interactions and advancing vaccine and therapeutic design for cancer and other diseases that affect both humans and
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• Learning pedagogical analysis and design • Control theory or reinforcement learning • Game-based or interactive training paradigms • Experience collaborating across disciplines • Research in ethics, agency
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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studies, and user research Perform sequence analysis, network analysis, and pattern mining to identify team-level interaction motifs Write and prepare papers for submission to peer-reviewed journals and
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experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R
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understanding of virus–vector–plant interactions, virus discovery, diagnostics innovation, and novel control strategies in agroecosystems. Projects in the lab include: Molecular interactions between plant viruses
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design, develop, and evaluate AI-driven scientific visualization assistants that support intuitive, context-aware interaction with large-scale simulation and experimental data. The postdoc will focus
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-microbe interactions. Duties will include performing designing synthetic DNA constructs, gene expression and protein- protein interaction analyses, agrobacterium transformation, gene silencing; and other
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis