-
will explore how semantic digital twins can automate the generation of control-oriented models and how LLMs can facilitate natural language interaction with complex building management. The developed
-
to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship – to develop and support implementation strategies that address micronutrient deficiencies in
-
If you are motivated by finding sustainable energy solutions for society, especially for arctic communities that want to develop industry and welfare where infrastructure is limited, you could be the PhD
-
aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship – to develop and support implementation strategies that address micronutrient
-
maintenance planning framework for wind turbine technologies, with a focus on enhancing structural resilience and operational efficiency. Key objectives include the development of a tailored risk-based
-
develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research
-
will focus on developing a robust framework for uncertainty quantification (UQ) and technology qualification, aimed at validating the safety, performance, and longevity of advanced wind turbine