Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
top priority and paramount for green and sustainable growth. In a large research project funded by Carlsberg Foundation’s Semper Ardens Advance grant, we will investigate if we can realize a new heavy
-
engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
-
extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
-
at DTU Compute. The position is part of the large EU project Shift2SDV, which brings together 81 partners to shape the future of Software Defined Vehicles (SDVs). DTU’s role is focused, and the postdoc
-
engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
-
the EU project Shift2SDV, a large collaborative effort involving 81 partners across Europe. At DTU, the project offers a focused research scope with room for academic exploration. This position focuses
-
collaborative research environment with strong interconnection between experimental and theoretical physics. We provide a large network of collaborators to develop ideas and new projects. Excellent experimental
-
mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
-
You will join the Grand Solution project"DRONES: Drone-Obtained Electromagnetic Signatures" to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture
-
-resolved micro and nano CT data. Develop and apply numerical implementations in simulation studies as well as to large experimental micro and nano CT data. Explore multi-modality reconstruction techniques