Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Aalborg University
- Aarhus University
- University of Copenhagen
- Aalborg Universitet
- Aarhus University (AU)
- Copenhagen Business School
- King's College London
- Technical University of Denmark (DTU)
- Technical University of Denmark;
- TEGNOLOGY APS
- Technical University Of Denmark
- Technical University of Denmark
- 2 more »
- « less
-
Field
-
studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with
-
educational background, prior research or work experience on Natural Language Processing, Machine Learning, and/or Explainable AI. Our group and research -- and what do we offer? The successful candidate will
-
, 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
-
intelligence and machine learning, with areas such as enzyme discovery and engineering, metabolic pathway design, genetic-code engineering, protein engineering, and the biosynthesis or biological incorporation
-
at the interface between mechanics and machine learning? We are looking for a postdoctoral researcher for a fixed term, full time position at the Department of Materials and Production on Aalborg campus, starting 1
-
designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into interactive visualization and analysis systems. Strong
-
problem-based learning environment, while contributing to an active research community within artificial intelligence and computer vision. The position is a permanent full time position (37 hours per week
-
uncertainty, learn, and coordinate - and how these processes compare with AI. You are likely studying cognitive science, psychology, behavioral science, human-computer interaction, or another field with a
-
paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported
-
, Computational Neuroscience, Computational Psychology or Behavioural Science; Transport Modelling, Transportation Science or Urban Mobility; Data Science, Artificial Intelligence, Machine Learning