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Field
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workflows, and immersive or experimental interfaces Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows Prototype and evaluate
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including mitigating climate-exacerbated global health inequities. This includes a new project funded by the Gates Foundation on real-world data for women’s health. In this role, you will develop analysis
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. Successful candidates will bring experience with survey methodology, psychometrics, and/or quantitative research design; along with proficiency in statistical analysis and data visualization tools
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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large
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analysing visual or multimodal data, and a strong theoretical understanding of ethnography and critical disability studies or critical autism studies. Applicants should also have experience in designing and
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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pipelines and visualization dashboards to communicate results effectively. Familiarity with geospatial data analysis and methods for extracting insights from unstructured data. Job Family Postdoctoral Job
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of stability protocols for memristor characterizaiton. · Process and analysis of data. · Elaboration of periodic reports to keep track of the project progress. · Preparation of scientific manuscripts and
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, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with