Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Cranfield University
- CNRS
- Aalborg University
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- Linköping University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Oak Ridge National Laboratory
- University of Agder
- Uppsala universitet
- ETH Zürich
- Ecole Centrale de Lyon
- Empa
- Forschungszentrum Jülich
- IMEC
- INRIA
- Imperial College London;
- Loughborough University;
- NTNU Norwegian University of Science and Technology
- Newcastle University
- Slovak University of Agriculture in Nitra
- Sorbonne Université, CNRS, Inserm
- Technical University of Munich
- UiT The Arctic University of Norway
- Universitat Politècnica de València
- University College Dublin
- University of Bergen
- University of Birmingham
- University of Bremen •
- University of Exeter
- University of Surrey
- Université Toulouse Capitole
- Université de Caen Normandie
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- 26 more »
- « less
-
Field
-
in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
-
Is the Job related to staff position within a Research Infrastructure? No Offer Description Computational geometry is the area within algorithms research dealing with the design and analysis
-
is to design a data architecture capable of harmonising sensor data and integrating them with artificial intelligence algorithms for predictive irrigation management. The research will include
-
There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
-
mobility and vulnerability to falls. The project will combine physiological sensory biomarkers with postural control, gait analysis and real-life mobility measurements obtained using wearable sensors and
-
resilient infrastructure? Would you like to integrate advanced AI techniques with heterogeneous UAV-based sensor data for the inspection and maintenance of critical transportation infrastructure, addressing
-
algorithms that can tightly integrate physical hardware, sensors, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining
-
to develop a data-efficient and uncertainty-aware framework for pigment mapping in Cultural Heritage. Heterogeneous spectral and imaging data from different sensors will be jointly exploited, including X-ray
-
role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
-
department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid