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: Durham, North Carolina 27708, United States of America [map ] Subject Area: Engineering / Electrical and Computer Engineering Appl Deadline: (posted 2025/08/04, listed until 2025/08/15) Position
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot manipulation learning & control, and differential
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Are you interested in green energy, and do you want to contribute to the development of the future technologies for the green transition? At the Department of Biological & Chemical Engineering (BCE
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Temporary contract | 24 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in electrical engineering or a closely related field. Previous laboratory and/or field experience. Experience
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industry Please submit the following application materials: Cover letter describing research interests and career goals. Current CV including publication list. Contact information for three professional
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- School of English - Faculty of Dentistry - Department of Civil Engineering - School of Computing and Data Science - Department of Electrical and Electronic Engineering - Department of Mechanical
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mobility in mining. Candidate Profile PhD (complete or imminent) in Renewable Energy, Electrical Engineering, E-Mobility, Mining Engineering, or related field. Proven publication record in sustainability
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require a Ph.D. in biomedical engineering, electrical engineering, chemical engineering, mechanical engineering, physics, chemistry, or biology and experience in one or more of the focus research area(s