Sort by
Refine Your Search
-
Category
-
Employer
- Aalborg University
- Aarhus University
- University of Copenhagen
- Aalborg Universitet
- Technical University Of Denmark
- Technical University of Denmark
- Copenhagen Business School
- Geological Survey of Denmark and Greenland (GEUS)
- Technical University of Denmark (DTU)
- Technical University of Denmark;
- University of Southern Denmark
- 1 more »
- « less
-
Field
-
applicant will join a multidisciplinary EU-funded Marie Skłodowska-Curie International PhD training network. This doctoral position is based at the Department of English, Germanic and Romance Studies
-
is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
-
Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
-
focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently
-
, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
-
heat integration in integrated Power-to-X systems. You will develop and apply physics-based process models that describe the behavior of Power-to-X plants under varying operating conditions. This
-
PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
to pioneering research at the interface of materials science, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio-composites based
-
the electrical grid, electrolysers, fuel-synthesis processes, energy storage and heat integration in integrated Power-to-X systems. You will develop and apply physics-based process models that describe
-
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 research infrastructure and lab facilities to conduct
-
. Control and dynamic systems: A solid understanding of control theory, dynamic modelling and autonomous systems. Experience with trajectory tracking, path following, model-based control, state estimation