Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
are a major part in implementing the 2030 vision of the Faculty of Medicine, i.e. to become leading within digital health and well-known for doctors and engineers finding solutions together. Our mission
-
an interdisciplinary academic team Preferred Qualifications • Experience with radiating component development from initial concept to prototype validation. • Familiarity with satellite communication system
-
for spinal surgery. The Candidates for this stipend should have a background in software engineering or similar and have substantial experience with machine learning. All cases involve various degrees of image
-
financially supported by the VILLUM Synergy project entitled ReBatMan: A New Paradigm for Sustainable Battery Lifetime Prediction through Acoustic Sensing and Machine Learning. The project is headed by Assoc
-
experiments, integrating experimental data collected during loaded magnetic resonance imaging scans of the human knee joint with the ex vivo findings. By working with in vivo models, you will contribute