Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- Aalborg University
- University of Southern Denmark
- Aalborg Universitet
- University of Copenhagen
- Technical University Of Denmark
- Nature Careers
- Aarhus University
- Copenhagen Business School
- COPENHAGEN BUSINESS SCHOOL
- Danmarks Tekniske Universitet
- NVIDIA Denmark
- University of Birmingham
- University of Southern Denmark;
- 4 more »
- « less
-
Field
-
- cancerous- and neurodegenerative diseases. In the project, patient cells, model- and reporter-minigenes, gene editing and animal models, as well as in vitro RNA binding techniques and bioinformatics will be
-
cytometry or quantitative image-based data analysis. Knowledge of microbial bioinformatics workflows, or a willingness to develop these skills during the PhD, is an advantage. A structured approach to
-
interdisciplinary projects. Project description The CASCADE-project will map Antarctic subglacial drainage at continental scale using Sentinel-1 Synthetic Aperture Radar processed as double-difference interferograms
-
variety of Earth surface processes. This aim is pursued through a collaboration between the Department of Sustainability and Planning and Department of Electronic Systems. The topic of this PhD position is
-
AI can be incorporated into the building design and operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback
-
! This interdisciplinary project investigates how generative AI can be incorporated into the building design and operation process. Particularly, we seek to support architects to design more sustainable buildings through
-
Job Description We offer you a unique opportunity to join the PlastChain project with the aim to develop a process for chemically recycling end of life plastic waste by gasification to form syngas
-
, or related disciplines. Performance (grades obtained) in graduate and post-graduate studies. The recruitment process After the deadline for applications, the Head of Department considers advice from
-
microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM components are in use
-
sessions, utilizing cues like facial expressions, posture, and movements. These signals are crucial for understanding the therapy process but can be difficult to measure. The lab develops AI technology that