63 animal-activity-recognition PhD positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
oxidation and disinfection processes. Work together with researchers at multiple departments at DTU and NTNU Research activities will mainly be carried out at DTU Sustain with research visits in Norway
-
limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
-
education . Assessment The assessment of the applicants will be made according to the qualification requirements stated above. We offer DTU is a leading technical university globally recognized
-
in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We
-
results. The ability to work collaboratively in a team with an open-minded spirit, embracing both teaching and learning opportunities. A genuine interest in discussing physics and engaging in thoughtful
-
systems To disseminate your research in conferences and high-impact journal papers. To contribute to the education and supervision of Bachelor and Master students. Strong collaboration with industry and
-
assist in preparation and testing of the platforms at the partner institutions collaborate with an interdisciplinary research team in a focused scientific effort contribute as teaching assistant at DTU
-
theoretical and computational work in topological photonics and nanophotonics. Day-to-day project activities will include numerical computation and theoretical analysis of the photonic properties of candidate
-
, converter-interfaced assets hold significant potential to act as decentralized, virtually cost-free sources of flexibility that can stabilize renewable-heavy grids—provided they are equipped with the right
-
wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT