Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
-
DTU Health Tech has its main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research
-
on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and
-
electricity prices with focus on Nordic electricity market including implementation, test and validation at the DTU Risø HPP facility (possibly in a GPU computing infrastructure) Aid the implementation of IEA
-
complex real-time control challenges under safety constraints. The Postdoccandidate will be responsible to: Conduct literature and technology reviews focusing on real-time embedded control and functional
-
, emmva@dtu.dk . You can read more about the Department of Applied Mathematics and Computer Science at www.compute.dtu.dk and about the Section for Cybersecurity Engineering at www.compute.dtu.dk/sections
-
for an appointment as a postdoc in social dynamics and complex systems. The position is funded by the Villum Young Investigator grant titled “Bridging social neuroscience and social data science: uncovering