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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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Description The Laboratory for Bioengineering Research and Applications (LIBRA) in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a postdoctoral associate to work
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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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, 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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and in Abu Dhabi. Minimum Qualifications Currently has a Doctoral degree from a recognized institution in Electrical, Mechanical, Naval or Aerospace Engineering. First-author peer-reviewed published
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
establishing collaborations across disciplines. Applicant must have a PhD in an engineering or biomedical-related field. Excellent skills relevant to the computational simulation of medical devices (3D solid
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establishing collaborations across disciplines. Applicant must have a PhD in an engineering or biomedical-related field. Excellent skills relevant to the cardiovascular project (design and development
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establishing collaborations across disciplines. Applicants must have a PhD in an engineering or biomedical-related field. Excellent experimental skills relevant to the project (computational simulations, device
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. The central goal of the laboratory is to study the neural mechanisms involving dynamic RNA modifications during cognitive development and decline. To achieve this, research projects rely on the use of a
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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