Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cranfield University
- Delft University of Technology (TU Delft)
- Fraunhofer-Gesellschaft
- Tallinn University of Technology
- Uppsala universitet
- CNRS
- ISCTE - Instituto Universitário de Lisboa
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); yesterday published
- Linköping University
- Technical University of Denmark
- Vrije Universiteit Brussel
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Chalmers University of Technology
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); today published
- Forschungszentrum Jülich
- Fraunhofer Institute for Wind Energy Systems IWES
- Heraeus Covantics
- KU LEUVEN
- Linköpings universitet
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Monash University
- Technical University of Denmark;
- Technical University of Munich
- University of Adelaide
- University of Bremen •
- University of East Anglia
- University of Groningen
- University of Trento
- 20 more »
- « less
-
Field
-
creation of a database for the various pollution sensors with a view to training online (non-embedded) models in the first instance. - Development of a machine learning algorithm based on the study database
-
LEO, MEO, and GEO constellations), and complementary on-board sensors. Research will investigate algorithms for robust multi-sensor fusion and positioning assurance. A strong emphasis will be placed
-
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 6 days ago
Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly realistic human and animal avatars for use in research, film
-
data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
-
wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
-
capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne
-
to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
-
Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics
-
spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication
-
, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and