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Field
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involves working with commercial fishing scientific data compilation, analysis, modeling, and visualization, and integration of local fishermen’s ecological knowledge, and available socioeconomics scientific
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. Data Analysis and Visualization: - Analyze datasets from LEEM/μ-LEED, XPEEM, XMCD/XMLD, and ARPES using specialized software and quantitative analysis methods. - Create clear visualizations of data and
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systems onto real robots for tasks such as tracking, 3D reconstruction, object recognition, and visual SLAM. They will be working with a team composed of PhD students, Research Assistants, and Postdocs
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opportunity to carry out research that explores how spontaneous strategy use in visual working memory varies over time among older and younger adults in the context of everyday life. This study is part of
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. • Ability to perform research and document results. • Ability to communicate effectively. TCU Core Competencies: University Core Competencies definitions may be found on the Human Resources website and in
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use of historical plant distribution data to investigate effects of urbanization on plant species. Based on available plant occurrence records that go back for almost two centuries, what trends in
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specifically investigate how changing lightscapes affect visual predation by fish and vertical mobility patterns of fish and plankton, and how the effects propagate down to the base of the food-web. Identified
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, 2027. Degree requirements must be completed by September 30, 2026, for employment effective October 1, 2026, and beyond. Position duration: Maximum Duration of Service in a Postdoctoral Title
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* lead the independent project(s), designs, develops, executes, and implements scientific experiments, adopt novel technologies to the sample analysis, produce and visualize data for presentation
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laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge on the human visual system