22 phd-in-architecture-and-built-environment-"DIFFER" Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
July 2026 and in other dissemination activities. Qualifications Applicants must have a PhD degree or must document equivalent qualifications in a relevant field related to Old Norse studies, for instance
-
multidisciplinary environment at the Faculty of Health. You will report to the Head of Section for Oral and Maxillofacial Surgery and Oral Pathology, Kasia Gurzawska-Comis. Your competences You hold a PhD in a field
-
applied research, and the department has particular focus on the good work environment, as this is a prerequisite for high quality in the performance of tasks at all levels. You can read more about the
-
90 academic staff members and 40 PhD students, we offer a lively and ambitious research and teaching environment. The research carried out at the department not only covers a variety of political
-
participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
-
. The working environment is very collaborative and PhD students and postdocs are encouraged to develop they own independent projects Place of work and area of employment The place of work is Bioinformatics
-
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
-
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
-
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