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of enrichment systems. As part of our team, you will provide research and development (R&D) support to strategically advance science and technology of prototype enrichment devices for processing both uranium
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of enrichment systems. As part of our team, you will provide research and development (R&D) support to strategically advance science and technology of prototype enrichment devices for processing both uranium
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
fast-paced academic environment; and demonstrated capacity for both detail orientation and big-picture thinking. PREFERRED: Three to five years of experience; a master's degree in engineering or science
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submitting your CV and a separate cover letter (no more than 2 pages) that demonstrates how you meet the following selection criteria: PhD in Materials Engineering, Chemical Engineering, or a related
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within the Rogers Building and the Baylor Research and Innovation Collaborative (BRIC) (see www.baylor.edu/bric). The department offers BS, MS, and PhD degrees in Mechanical Engineering and B.S. in
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Science and Engineering, or a related discipline Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning
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. Job requirements We look forward to dynamic candidates that want to get their hands onto a real mission and bring a contribution to society. You also have: A PhD in engineering (aerospace engineering
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methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive testing is an advantage. You can work independently while collaborating effectively with
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accreditation activities and committee assignments. Providing service to the University, State, and profession. Required Qualifications – Experience, Education, Knowledge & Skills PhD in Mechanical Engineering
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning