Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
centre dedicated to advancing digital technologies for the green transition of the energy sector. The centre conducts research at the intersection of energy systems, artificial intelligence, software
-
, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks
-
employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
-
Interaction / Human-Centred Artificial Intelligence Help shape the future of work. This PhD project investigates how collaborative AI agents can support communication, learning, and shared understanding in blue
-
research project AI in the News Ecosystem: Navigating Trust and Authenticity (AINATA). The AINATA project explores how artificial intelligence (AI) impacts trust and authenticity in the news ecosystem. It
-
of these materials. Implementation of artificial intelligence (AI) and machine learning (ML) to establish the connection between the existing models and material data (both literature and the baseline established in
-
Programme and mentoring. An open and collaborative research culture within SDU’s Faculty of Engineering (TEK), promoting interdisciplinary innovation across electronics, materials science, and artificial
-
AI enhances the robustness, fairness, and explainability of artificial intelligence systems by explicitly modeling causal mechanisms and incorporating domain expertise. Situated at the intersection
-
digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
-
condensed matter physics, computational chemistry, or related fields. Experience with scientific programming is expected. The ideal candidate is motivated to work at the intersection of physics, artificial