124 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-LUXEMBOURG" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
opportunities in quantum and information technologies while advancing fundamental science. We refer to this emerging research area as Extreme Dielectric Confinement (EDC), and we invite you to become part of
-
reliability. Prospective applicants for this PhD proposal should have the following qualifications: M.Sc. degree in communications engineering, mathematical engineering, electrical engineering, computer
-
academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
-
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
-
, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information ecosystem. The PhD student(s) will be embedded
-
master's degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information
-
) and fourteen associated partners including six from industry and two start-ups. More information may be found on MICROSUNSET . To be eligible for a MICROSUNSET PhD-position, you must not have lived
-
academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
-
is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD
-
of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established in