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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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of development, investment decision making, financing, and construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and
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aims to revolutionize the development of therapeutic platforms for IDPs, creating significant advancements in cancer research and treatment strategies. As part of a collaborative initiative with the
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Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping
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to conduct research in one of the following areas: Area A: Research Focus – synthesis and evolution of macrocyclic peptides as selective inhibitors/modulators of cancer-related targets. Projects – involve
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evaluate results. Prepare and present scientific reports, findings, and manuscripts. Collaborate with the principal investigator and research staff to develop methodologies and refine lab procedures
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. Traditional small-signal stability analysis methods are insufficient for evaluating large disturbances such as faults and disconnections. This project focuses on developing and validating computationally
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module development. ● Assist in proposal development, group outreach, and student mentoring. ● Contribute to the development of new training courses. ● Other duties as assigned. Special Notes
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theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and