Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
, and scholarly publications in close collaboration with a Postdoc and a PhD student appointed across the Department of Architecture, Design & Media Technology and the Department of Sustainability
-
agendas in cities. The position is on the PhD program Media, Architecture & Design. This PhD position is part of a new interdisciplinary thematic research initiative that addresses Urban Social Resilience
-
composites by developing next‑generation over‑moulding processes with real industrial impact. As a PhD student, you will work at the forefront of digital manufacturing research, combining experimental
-
on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time
-
design. Secure external funding for independent and collaborative research projects (national and international). Supervise bachelor, master and PhD students and mentor junior researchers. Foster and lead
-
At the Faculty of Engineering and Science, Department of Materials and Production, a PhD stipend is available within the doctoral programme Materials Science, Mechanical and Manufacturing
-
PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
rheology. The PhD student will also characterize the structure of the ABC star block copolymer samples using electron microscopy and possibly small-angle scattering techniques in collaboration with a postdoc
-
a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and
-
and supervise PhD and MSc student projects). Qualification: Background in concrete technology and characterisation. Background within image processing, computer vision, or related fields. Background
-
student projects). Qualification You should have a background within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas