Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Technical University Of Denmark
- University of Copenhagen
- Copenhagen Business School , CBS
- Technical University of Denmark;
- Aalborg Universitet
- Aalborg University
- Aarhus University
- Copenhagen Business School
- Danmarks Tekniske Universitet
- Roskilde University
- 3 more »
- « less
-
Field
-
where variable renewable energy sources are involved. Emerging digital and cyber-physical systems technologies are an integral component of grid interactive efficient buildings. Through advanced control
-
a PhD at DTU. Application procedure Your complete online application must be submitted no later than 15 October 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing all
-
research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet
-
tomography, digital image correlation, TGA, isothermal calorimetry, R3 testing, and XRD is advantageous Thermodynamic modelling skills are advantageous Life cycle assessment skills are advantageous
-
Job Description Do you want to shape the future of healthcare in the era of digitalization with a focus on scientific research? Then we have the right opportunity for you. We are looking for a
-
the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 16 September 2025 (23:59 Danish time). Applications
-
relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application
-
small-scale processing sector. By joining this project, you will contribute to the development of AI-powered tools that predict non-compliance, improve food safety monitoring, and ultimately protect
-
within the League Secretariat. (2) To examine the often-contested formation of hierarchies within the League Secretariat via state-of-the-art digital approaches. (3) To investigate how processes
-
that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co