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software engineering, human factors usability, and design/visualization in developing applications to optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor
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will support various projects utilizing software engineering, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
proposals that enhance the lab s research portfolio and attract external funding for neutrinoless double-beta decay. Mentorship and training of staff, students, and postdocs are integral and essential
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to prepare and stain sections; (2) optimize image analysis pipelines; (3) organize, document, and present data clearly for group meetings and reports; (4) maintain laboratory records, follow safety protocols
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opens a call for the assignment of a research grant, with one position(s), under the project SOMIPs - Simulation, Optimization and Monitoring using AI-based Digital Twin Technology for Incineration Plants
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"Future-Predictive Digital Systems through Super Dimensional State Engineering". The objective of this project is to develop future-predictive digital systems that facilitate the design and optimization
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GitHub. Essential Duties and Responsibilities: Assist in the development and implementation of AI agents and machine learning models for civil engineering applications Develop, test, and optimize models
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who possess experience with digitization projects, an understanding of metadata creation and MARC cataloging, knowledge of OCR output optimization, experience with grant management, excellent
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graduate student and postdoc needs Postdoctoral Scholar Engagement Develop and implement initiatives to support community-building and professional growth among postdoctoral scholars Create opportunities
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‑space exploration, and on‑line operational optimization of power systems. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative