Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Cranfield University
- DAAD
- Nature Careers
- Technical University of Denmark
- Vrije Universiteit Brussel
- ; Newcastle University
- ; The University of Manchester
- ; University of Sheffield
- ; University of Southampton
- Inria, the French national research institute for the digital sciences
- Leiden University
- Linköping University
- National Research Council Canada
- Radboud University
- Technical University of Munich
- University of Adelaide
- University of Copenhagen
- University of Oslo
- 8 more »
- « less
-
Field
-
input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
-
control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
-
more sustainable? If you share our passion for technology and the difference it can make in meeting the UN’s Sustainable Development Goals, perhaps you are one of our two new PhD students. At DTU Electro
-
development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation
-
tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
-
integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
-
, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
-
slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
-
systems and to develop new dynamic retasking algorithms for heterogeneous sensor networks. The successful candidate will be a creative, hands-on experimentalist who enjoys system integration and problem
-
tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport