41 electric-machine-design-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in United Arab Emirates
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results. Qualifications Essential Qualifications: BSc or MSc in Computer Engineering or Electrical engineering with expertise in hardware security. Excellent analytic, design, and coding skills. Familiar
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. Qualifications Essential Qualifications: PhD in computer science/engineering with expertise in a security or privacy research topic. Less than 5 years post-receiving the Doctoral degree. Excellent analytic, design
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application, with particular emphasis on translating advances in artificial intelligence, machine learning, computer vision, robotics, and human-computer interaction into usable technologies. The role may
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collaborators. Requirements: Applicants should have a Bachelors or Masters in Computer Engineering, Computer Science, Electrical Engineering, or a related field. Extensive and sound knowledge of Robotics, ML, AI
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Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York University Abu Dhabi invites applications for a Junior Research Scientist position with a a
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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-of-the-art facilities for photonic device design, fabrication, and characterization. Applicants should have a Ph.D. in science or engineering with at least 3 years of experience in the relevant field
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plus. The candidate will join a multidisciplinary team and have access to state-of-the-art facilities for photonic device design, fabrication, and characterization. Applicants should have a Ph.D. in
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in