Sort by
Refine Your Search
-
are specifically encouraged to apply. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and technologies. Qualification requirements PhD
-
% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
-
Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
-
problem-based learning, with a focus on interdisciplinary collaboration between academia and industry to generate solutions to practical challenges within the sector. Part of the project’s outcomes will
-
forms of knowledge dissemination and complete an external research stay outside of Aalborg University, preferably 3-6 months at a foreign research institution. How to apply Please send the following
-
, Biomedical Science and Technology, and 1500 students in our bachelors and masters programmes. We hold state of the art research and we offer state of art learning opportunities in our teaching facilities
-
artificial intelligence, architectural design, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and
-
. Relevant contexts may include, for example, neighbourhoods undergoing urban transformation, historic city centres, post-industrial areas, housing estate areas, peripheral urban settings or public places
-
innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons
-
statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance