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positions. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry
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-winning team of PhD and master’s researchers advancing the next generation of energy efficiency and intelligent systems for industrial applications. Based within the School of Engineering and Architecture
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? Apply now! Education PhD in a quantitative scientific discipline such as computational chemistry, chemical engineering, physics, materials science, applied mathematics, or a closely related field PhD
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for this position should possess the following qualifications: A PhD (or Postdoctoral experience) in Materials Science, Nuclear Engineering, or Condensed Matter Physics. Proven experience with ion irradiation studies
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of knowledge, experience, skills, talent and abilities required for the role as outlined below and must satisfy all of the essential criteria: Essential A PhD or equivalent in Computer Science, Engineering or
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models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science
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. Contribute and participate in events, conferences, seminars and workshops. Specific Requirements Essential Criteria A PhD qualification in Engineering or related disciplines Appropriate research experience in
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20 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Engineering Mathematics Physics Researcher Profile Recognised Researcher (R2) Established
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of Research ExperienceNone Additional Information Eligibility criteria Education - PhD in education, cognitive psychology, occupational psychology/ergonomics, educational technology, or a related field. - Dual
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural