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Field
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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intelligence-based automated interpretation of medical images, and new knowledge on the human visual system into the screening mammography reading process. Combining these new capabilities and new knowledge has
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Machine Learning. The research objective of this position is to design and conduct studies on human perception, to investigate the effect of different visualization techniques on human users. A particular
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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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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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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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. 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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. • 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