Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Fraunhofer-Gesellschaft
- ;
- Cranfield University
- Technical University of Denmark
- Chalmers University of Technology
- Linköping University
- DAAD
- Ghent University
- Lulea University of Technology
- Nature Careers
- ; University of Birmingham
- Forschungszentrum Jülich
- University of Twente
- ; Loughborough University
- ; Swansea University
- ; University of Sheffield
- ; University of Southampton
- Ariel University
- Curtin University
- Leibniz
- Ludwig-Maximilians-Universität München •
- Luxembourg Institute of Socio-Economic Research (LISER)
- Monash University
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Luxembourg
- University of Southern Denmark
- Uppsala University
- Vrije Universiteit Brussel
- 19 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
-
engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early
-
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
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
Europe | 7 days ago
approaches for telecommunicationsHost institution: UNILIM, FranceSupervisors: Prof. P. Roy (UNILIM)DC 10 – OpenProject Title: Design of wavelength space division multiplexing MCF-based passive optical networks
-
, or their LiDAR beam is blocked by a truck. To reach level-4/5 autonomy, we need teamwork: nearby vehicles, drones, and roadside units must co-perceive their environment, sharing and fusing complementary sensor
-
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
-
scintillator-based radiation sensors combining multiple materials with complementary functions, offer a promising route to overcome these limits and achieve unprecedented timing resolution (sub-70ps), enabling
-
PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
-Curie Project NEPIT - Network for Evaluation of Propagation and Interference Training. To expose objects to electromagnetic fields we step to a new position, increase power level until a defined value is
-
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