22 phd-in-architecture-and-built-environment Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
research and teaching environment and activities. We expect you to teach and supervise students at Bachelor’s and Master’s level and to carry out research of the highest international standards, which
-
tasks will consist of: Independent research of high international quality, including publication. Guidance and supervision of Bachelor’s and Master's degree students, as well as supervision of PhD
-
; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
-
directed to Associate Professor Helle Strandgaard Jensen (hs.jensen@cas.au.dk ) Qualifications A PhD in history, cultural studies, anthropology, sociology, media studies or related areas focusing on modern
-
two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
-
the research environment and that you will contribute positively to the social working environment. We also expect that you will take part in our teaching activities and that you will report research results in
-
at varied scales (national, regional and local). We expect that you will be an important part of the research environment and that you will contribute positively to the social working environment. We also
-
-society nexus. We expect that you will be an important part of the research environment and that you will contribute positively to the social working environment. We also expect that you will take part in
-
interdisciplinary research environments with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food
-
project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering