Sort by
Refine Your Search
-
Prediction (AI-focused) This position focuses on developing cutting-edge AI methods for genetic risk prediction across multiple cancer types, with a strong focus on model performance and explainability
-
candidates will then be made and tested in the laboratory. The prospective PhD student should have an interest in working in a multidisciplinary team and perform both computational and experimental materials
-
AI-driven creativity with clear environmental performance feedback early in the architectural design process. This phase is characterized by high uncertainty in data availability and design parameters
-
the general study programme Wireless communication; as per May 1, 2026, or as soon as possible thereafter. The candidate will be based in Copenhagen at the CMI Section (Communication Media and Information
-
Environments within the general study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
-
, fatigue, corrosion, and biofouling ) of subsea structures. Derive limit state functions associated with the failure mechanisms using high-fidelity Finite Element Analysis. Perform sensitivity and
-
decision-making. A main challenge is finding ways to link AI-driven creativity with clear environmental performance feedback early in the design process. This phase is characterized by high uncertainty in
-
, machine learning, and decision-making methodologies to design systems capable of functioning safely and efficiently under uncertainty. Limited teaching within the Global Business Engineering program can be