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of the recruitment and description of the project This position is part of the Moonshot Research and Development Program Goal 10 "Fusion Energy". The successful candidate will participate in the research project
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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, the development and integration of these instruments to optimize data collections, the design of new modalities for collecting EO/IR data, and the analysis and reporting of these data products. Why should I apply
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Posting Title Graduate PhD Student Intern (Summer) – Mathematical Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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projects utilizing software engineering, human factors usability, and design/visualization in developing applications to optimize combat casualty care. These projects include software mobile application
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cell-based and cell-free production and purification approaches. Conducting quality protein product evaluations to validate promising drug candidates. Applying design and engineering skills to optimize
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on the distribution grid with distributed energy resources (DERs). The intern will work on projects developing learning-based analytics, and cyber-attack-resilient control strategies and optimizations for power
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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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control solution to optimize the operation of the incineration process in biomass recovery plants. The ultimate goal is to increase the amount of energy per unit volume of biomass. The project is led by