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://nyuad.nyu.edu/en/academics/graduate-and-phd/msc-interdisciplinary-data-science-and-artificial-intelligence.html https://nyuad.nyu.edu/en/ NYUAD is committed to upholding a culture of non-discrimination, anti
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at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD in a relevant
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undergraduate or PhD students. Applicants must hold a PhD in chemistry, physics, materials science, or a related field, with a focus on crystallography. To apply, submit a cover letter, a curriculum vitae that
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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. Qualifications Applicants preferably have a PhD in computer science or in a closely related area prior to the start of the appointment and should have demonstrated excellence in conducting innovative and impactful
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of young postdoctoral fellows and graduate students. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants
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intensifying climate-related stressors. Applicants must hold a PhD in biological sciences, molecular ecology, genetics, or a related field, completed by January 2024. They must also possess advanced SCUBA
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expected to take a leading role in the research projects in particle physics phenomenology particular in relation to Higgs, neutrino and BSM physics, and help in supervising PhD students. The appointment
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utilities, and other attractive benefits are provided. JOB QUALIFICATIONS: All candidates must have a PhD degree in information systems or information systems and business analytics from an AACSB-accredited
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motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed