PhD scholarship in Scalable LLM-driven Semantic Digital Twins for Building Energy Modelling - DTU Construct
DTU, Danmarks Tekniske Universitet Lyngby
The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical modeling principles with data-driven techniques.
The project addresses challenges related to model generalization, uncertainty, and applicability across diverse building types and energy system contexts.
DTU, Danmarks Tekniske UniversitetLyngby
If you are passionate about neural development and would like to leverage human pluripotent stem cell technology, nano and microfabrication, and 3D printing to develop Brain-on-Chip models to study neurodegenerative diseases and neural development,...
DTU, Danmarks Tekniske UniversitetLyngby
Do you want to figure out why Bayesian deep learning doesn’t work? And afterwards fix it?
At DTU Compute we are working towards building highly scalable Bayesian approximations that actually work for deep learning. The driving approach is to first...
DTU, Danmarks Tekniske UniversitetLyngby
Would you like to contribute to solving some of the most critical challenges industrial coatings are facing today and are you looking for a carrier in R&D or academia?
In this project, taking place in CoaST – DTU Coatings Science and Technology...