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development, sex determination, fruit development and tissue culture. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students
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of this research project is advanced optoelectronics materials for sensing applications. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students, and
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research facilities of NYUAD. Applicants must hold a PhD or equivalent degree in either science (Chemistry, Physics) or Engineering, with prior experience and strong publication record in device fabrication
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. The focus of this research project is related to advanced optoelectronics materials for sensing applications. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists
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inspection Successful candidates must hold a PhD degree in Civil/Structural Engineering, or related field such as Computer Science, Electrical Engineering, Mechanical Engineering, etc. Other required
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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. PhD holders with a strong publication record, a background in attachment theory, and experience with the Adult Attachment Interview, the Attachment Script Assessment, or narrative coding/natural
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have access to the well-equipped core research facilities of NYUAD. Applicants must hold a PhD or equivalent degree in Materials Science, Chemistry, Physics or Mechanical Engineering. Priority will be
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with theory, algorithms, and applications. The candidate will work with a small team of post-docs, PhD students, graduate students, and undergraduate students. Applicants must have a PhD in Computer
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required. PhD holders with a strong publication record, a background in computational fluid dynamics, laminar to turbulence transition, and vortex dynamics are encouraged to apply. Experience in high