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
-
twins, enabling real-time stress-testing under simulated edge cases like cyber-physical attacks and sensor failures. The Research Challenges There exists a complex interplay of factors that present
-
to be essential. Certain conflicting objectives then arise (computation time, optimality of the solution, design and implementation time of the algorithm used, etc.). For the engineering researcher, who
-
available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and
-
the number of sensors required and the maintenance of the data acquisition system. Hence, the alternative of direct instrumentation of the structure, whilst effective, can be logistically expensive
-
6 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Mathematics » Algorithms Mathematics » Discrete mathematics
-
project aims to develop advanced control and planning algorithms that enhance robustness and safety, ensuring reliable performance even in the presence of magnetic fields and other uncertain conditions. The
-
monitoring. Conventional early-warning systems, such as optical/IR cameras, satellites, human observers, and dense sensor networks, either provide limited warning time, depend on clear visibility, or are too
-
, finger, and multimodal) under controlled and semi-wild conditions. Develop AI-based algorithms for biometric trust assessment, anti-fraud analytics, and secure onboarding. Lead the deployment and
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
The spectacular development of space systems and sensors, for observing the Earth and other Planets, provides access to numerous geophysical, geochemical and biophysical parameters over vast areas with increasingly
-
in the live organism to study e.g. immune responses or cancer development. Moreover, using molecular sensors we also aim to read out cellular functionality in vivo e.g. metabolic reprogramming in