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Field
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Posting Details Position Information Posting Number PG191501PD Position Number 00111529 Position Type Post Doc FLSA Departmental Information Department ID 140401 - Electrical & Computer Engineering
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Qualifications • Ph.D. in Civil/Electrical/Mechanical Engineering, Computer Science, Data Science, or a related field • Demonstrated expertise and publication record in computer vision, machine learning, 3D scene
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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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technical writing skills is essential (preprints are welcome).Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering
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-world problems. Position Requirements Recent or soon-to-be completed (typically within the last 0-5 years) PhD in Electrical Engineering, Industrial Engineering, Applied Mathematics, or a closely related
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with experience in the following biomedical engineering fields: Biomedical photonics/optoelectronics Biomedical nano- and microscale systems/fabrication Biomedical computation/modeling These positions
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 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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Apply now Job no:535814 Work type:Faculty - Other Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Human Physiology, Engineering/Biomedical Engineering Department
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SPECIFICS Postdoctoral Researcher in Defect Modeling The Pennsylvania State University Department of Nuclear Engineering The Computational Nuclear Materials Group (https://sites.psu.edu/cnmg/ ) at Penn State
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer