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Field
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combine everything from physics and chemistry to civil and electrical engineering. The Materials Science and Engineering Department at Carnegie Mellon is seeking a Postdoctoral researcher to work on the
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Qualifications: Ph.D. (completed within the past 0-5 years) in computer science, electrical engineering, applied mathematics, or a related field. Strong proficiency in Python, with additional experience in C, C
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electrical engineering, biomedical engineering, computer science, medical physics, neuroscience, or a related field. While this is the preferred background, highly qualified candidates from other scientific
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graduate within the last three years. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Relevant Ph.D. in Electrical Engineering or Computer
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-generation hydropower and pumped storage systems for a flexible, reliable grid. Marine energy technologies convert the energy of waves, tides, and river and ocean currents into electricity and have the
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in materials physics and defect properties Required Education: PhD in Materials Science and Engineering Required Experience: Experience with VASP and high-performance computing; A background in
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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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science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university
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costs are not included. Minimum Qualifications: · Ph.D. in transportation engineering or a closely related field such as industrial engineering, systems engineering, computer science, electrical
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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