Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
This position requires a PhD in Computer Science, Artificial Intelligence, Data Science or Engineering, Computational Linguistics, or a closely related discipline. Demonstrated expertise in Natural
-
. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students, and undergraduate students. Applicants must have a Ph.D. in Electrical Engineering, Physics, or a
-
, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD or Master’s degree
-
to candidates who have prior experience with modular Lie superalgebras. Candidates must hold a PhD in mathematics or Theoretical Physics. The ideal candidate will have extensive experience with cutting-edge
-
culture at NYUAD. Participate in cross-disciplinary projects at CITIES, connecting data systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in
-
disciplines. Applicants must hold a PhD degree in the science/engineering field. They must also have excellent biosensing expertise; multi-year experience in clinical diagnostics is a plus. Applicants must
-
gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with an outstanding academic record. The terms of employment are internationally competitive, and
-
of such materials to water treatment is preferred. The candidate will work in a multidisciplinary environment consisting of PhD scientists, graduate students, and undergraduate students. Applicants must have a PhD in
-
Post-doctoral Researcher position. We seek an ambitious, well-trained, and collaborative scholar with a PhD in economics or a related field. Candidates must have expertise in experimental methods and
-
, equally capable of working alone and as part of a team, and holds a PhD in economics or a related field. The position requires expertise in either experimental, empirical, or theoretical methods or, ideally