Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Cranfield University
- DAAD
- University of Southern Denmark
- Forschungszentrum Jülich
- Linköping University
- RWTH Aachen University
- Roma Tre University
- Aristotle University of Thessaloniki
- Chalmers University of Technology
- GFZ Helmholtz Centre for Geosciences
- Lulea University of Technology
- Nature Careers
- Technical University Of Denmark
- Umeå University
- ;
- ; Swansea University
- ; University of Birmingham
- ; University of Sheffield
- ; University of Southampton
- Arts et Métiers Institute of Technology (ENSAM)
- Curtin University
- Delft University of Technology
- Delft University of Technology (TU Delft)
- Forschungsinstitut für Nutztierbiologie (FBN)
- Fraunhofer-Gesellschaft
- Ghent University
- Heraeus Covantics
- ISCTE - Instituto Universitário de Lisboa
- Ludwig-Maximilians-Universität München •
- Monash University
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark;
- University of Bremen •
- University of Luxembourg
- University of Newcastle
- University of Potsdam •
- University of Twente
- Universität Düsseldorf
- Uppsala universitet
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- 32 more »
- « less
-
Field
-
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
-
Building Information Modelling (BIM) with Structural Health Monitoring (SHM) applying smart sensor networks, Internet of Things (IoT), and resilience-informed design platforms. Furthermore, REUNATECH
-
of Information Backbones including Digital Twins and Building Information Modelling (BIM) with Structural Health Monitoring (SHM) applying smart sensor networks, Internet of Things (IoT), and resilience-informed
-
sensor-based measurement methods, calculation tools (such as the KringloopWijzer), and proven effective on-farm measures. Your qualities You are proactive and socially aware, enabling you to identify and
-
Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
-
Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
-
, 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
-
operating filters. Quantify operational performance including headloss recovery, filtrate turbidity, biological stability and lifecycle carbon—using high-resolution sensor data and life-cycle assessment tools
-
Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
-
. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material