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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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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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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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with preparing IRB renewals and modifications. Mentoring will be provided by Dr. Gotlib, postdocs, and graduate students. The predoc will have the opportunity to gain valuable research skills and
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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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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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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