Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
complex natural soils. You will work with chemotaxis experiments, long-read sequencing, microbial community analysis, and LC-MS-based chemical characterization. The PhD project is part of the research
-
, microfabrication, pharmaceutical science, and polymer science, ensuring alignment between technology development and market needs. The project is highly interdisciplinary, and we expect that you enjoy teamwork
-
to communicate clearly, and open to collaborating with health-domain experts to ensure that your research aligns with real-world needs. The working language for this position is English; Danish is not required
-
modeling framework will be designed to support multiple downstream applications, including energy flexibility assessment, advanced control strategies (e.g., MPC and RL), and evaluation of renovation and
-
dynamics are further shaped by interactions among multiple GFM units and the surrounding grid strength. Conventional small-signal models are therefore inadequate, motivating large-signal modelling and
-
the project head to discuss their PhD proposal prior to application, to ensure that there is reasonable alignment between their proposal and the overall project framing. Requirements and programme structure PhD
-
limiting, control mode switching, and loss of synchronism. In multi-machine systems, these transient dynamics are further shaped by interactions among multiple GFM units and the surrounding grid strength
-
Space Tech Center will enable collaboration between the PhD and researchers on space technologies across multiple departments and faculties at AAU, as well as access to state-of-the-art simulation
-
still face significant challenges, for instance, for modelling CO2 storage processes, which involve multiple cations and anions, mineral precipitation and dissolution, broad ranges of temperature and
-
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