Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Aalborg University
- University of Copenhagen
- Technical University Of Denmark
- Technical University of Denmark (DTU)
- Aarhus University
- Copenhagen Business School
- Technical University of Denmark
- Geological Survey of Denmark and Greenland (GEUS)
- Aalborg Universitet
- Graduate School of Arts, Aarhus University
- Technical University of Denmark;
- University of Southern Denmark
- University of Southern Denmark (SDU)
- 3 more »
- « less
-
Field
-
/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. The main aim of this work package is to investigate how such cutting-edge
-
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
-
, 2026, with the earliest start date 1 February, 2027. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject
-
not a requirement. We are looking for a curious and enthusiastic researcher who is eager to learn new techniques, work across experimental approaches, and develop their own ideas within the project. Our
-
-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be
-
, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types
-
contain well-informed methodological considerations. To find out more about the department please go to https://www.cbs.dk/si. ; A particular quality of the department is in the use of empirical
-
Are you an experienced researcher in microbial genomics and bioinformatics with a strong record of university teaching, and expertise in whole-genome sequencing (WGS) analysis, machine learning and
-
analysis, causal inference with machine learning, and deep learning for various health-related domains. The Global Pathogen Analysis Platform (GPAP) is a new international initiative to strengthen global
-
interest in learning Danish is an advantage. Meet your new colleagues You will become part of the Department of Glaciology and Climate. Our department studies both the current and past changes