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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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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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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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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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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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-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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. Prepare publications, technical reports, and assist with proposal development. Required Qualifications: Ph.D. in Materials Science, Applied Physics, Electrical Engineering, or a related field. Expertise in
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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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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R. Brown School of Engineering and Computing: The George R. Brown School of Engineering ranks among the top 20 undergraduate engineering programs (US News & World Report) and is strongly committed