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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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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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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
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optimization, and reliability of gas centrifuges used in the processing of uranium and stable isotope compounds. The Electric Motor Researcher will participate in research and development (R&D) related
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conditions for a rewarding career. Job Summary The Aparicio lab is developing new single-cell genome and transcriptome methods for tracking clonal trajectories at the single-cell level in patient tissues and