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PhD degree in Mechanical Engineering, Biomedical Engineering, or Electrical Engineering. Intensive prior knowledge and experience in design and experimental work, instrumentation, microfabrication, and
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, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on robot control, machine learning, and differential geometry. Demonstrated experience in developing
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Description The Center for Smart Engineering Materials (CSEM) at New York University Abu Dhabi is seeking to recruit a postdoctoral associate in the areas of organic electronics and optics
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must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on robot control, machine learning, and
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, mathematics, and innovation. Candidates must hold (or be close to completing) a Ph.D. in Applied Mathematics, Electrical or Mechanical Engineering, Physics and Applied Physics or a related field. Working in a
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-Robot Swarms in Unknown Environments. CAIR invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or mechanical engineering, or related field to apply. A strong
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Description The Center for Smart Engineering Materials (CSEM), New York University Abu Dhabi,seeks to recruit a post-doctoral associate to work on the development, characterization, and applications
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measurements for RIS enabled communication environments, as well as processing and analyzing the collected data. Applicants must hold a PhD degree in Electrical/Electronics Engineering, telecommunications
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
developing novel medical devices for ultimate human use. The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic
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developing novel medical devices for ultimate human use. The successful applicant will join several fascinating projects on engineering novel approaches to improve the diagnosis and therapy of metabolic