85 machine-learning "https:" "https:" "https:" "https:" "The Open University" uni jobs at Zintellect
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machine learning methods for disease quantification. Through the course of the project, they will gain in-depth knowledge of issues and the latest research at the junction of plant pathology and plant
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enhance their learning through participation in an actual Air Force research project. The available research opportunities span many STEM fields, including Biology, Mathematics, Computer Science, Cognitive
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Ranger district in partnership with the local government and community organizations) contribute to local economies. Learning Objectives: The fellow will have opportunities to strengthen their research
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for improving airfields, communication systems, ammunition storage facilities, and other locations. In addition, you will learn about web visualization efforts that impact the design and construction mission
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tephritid fruit flies, which are important horticultural pests globally. The successful candidate will participate in the design, execution, and analysis of insect behavioral studies using HR, learning and
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is to enable utilization of NH3 as a fuel in gas turbine applications while effectively minimizing harmful NOx formation. The learning objectives for this project are: • To research comprehensive
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turbine applications while effectively minimizing harmful NOx formation. The learning objectives for this project are: • To research comprehensive experimental datasets on NO, NH, and NH2, and OH species
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gain learning experience in developing optical fiber gas sensors, synthesizing and testing various gas sensing materials, testing and optimizing sensor performance for applications in gas sensing
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(EACE) is a unique organization within the DoD consisting of teams of researchers embedded at the point of care within multiple Military Treatment Facilities across the nation. In line with the
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on-site in Oak Ridge, Tennessee. $500 per week stipend based on full-time of participation each week. The opportunity to learn from world-renowned scientists and engineers. Optional professional development