Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Fraunhofer-Gesellschaft
- Linköping University
- Technical University of Denmark
- Cranfield University
- Nature Careers
- DAAD
- ; University of Birmingham
- Chalmers University of Technology
- Forschungszentrum Jülich
- Ghent University
- Luxembourg Institute of Socio-Economic Research (LISER)
- University of Newcastle
- ; Cranfield University
- ; Loughborough University
- ; University of Southampton
- Ariel University
- Curtin University
- ETH Zurich
- Helmholtz-Zentrum Geesthacht
- Leibniz
- Ludwig-Maximilians-Universität München •
- Monash University
- NTNU - Norwegian University of Science and Technology
- National Research Council Canada
- UiT The Arctic University of Norway
- University of Luxembourg
- University of Southern Denmark
- Universität Düsseldorf
- Uppsala University
- Wageningen University and Research Center
- 21 more »
- « less
-
Field
-
sleep patterns, gaining insights into sleep-related issues, and personalised sleep health management. However, the dynamic nature of sensor networks caused by frequently adding and removing nodes has
-
Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
-
persists, even for the most powerful sensors operating in this way. A drastic departure from this sensing architecture is “multistatic” radar – enacted by a coherent network of spatially distributed sensors
-
This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
-
debris (Kessler's Syndrome). To manage this, global sensor networks monitor our space environment in both optical and radio regimes. This research project will contribute to advancing space situational
-
of experience in the development of sensors for healthcare applications; Dr Diganta Das; Stephanie Edwards and Andrew Peers. Loughborough University has an applied research culture. In REF 2021, 94% of the work
-
highly automated, networked mobility, featuring international collaboration with mentors from the USA, Asia, and Europe. TUD and the RTG embody a university culture that is characterized by cosmopolitanism
-
models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
-
automated, networked mobility, featuring international collaboration with mentors from the USA, Asia, and Europe. TUD and the RTG embody a university culture that is characterized by cosmopolitanism, mutual
-
and estimation Multi-agent planning and cooperation Communication-aware coordination strategies Learning-based control in networked systems Resilience and safety in multi-agent systems