Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
that facilitate the understanding of spatial profiling in clinical samples. You will work with datasets from our Xenium High-plex Single-cell Spatial Profiling (HSSP) from 10x Genomics and GeoMx Digital Spatial
-
models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them
-
and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
-
and high-performance computing resources. The positions are part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration
-
to conduct research using registry data and perform impact evaluations of treatment programs. Strong quantitative research skills are essential, and experience working within municipalities and Child and
-
research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
-
orthopaedic surgery. This role combines medical imaging (ultrasound and MRI), computer-assisted surgical technologies, and the study of how bones and joints move. The targeted starting date is March 1, 2026
-
with High-Dimensional Covariates, funded by an Independent Research Fund Denmark grant. The project is led by Associate Professor Jesper Riis-Vestergaard Sørensen (UCPH) with Professor Denis Chetverikov