Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Cranfield University
- University of Bergen
- Delft University of Technology (TU Delft)
- Fraunhofer-Gesellschaft
- Tallinn University of Technology
- Forschungszentrum Jülich
- University of Exeter
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); yesterday published
- ISCTE - Instituto Universitário de Lisboa
- National University of Science and Technology POLITEHNICA Bucharest
- Newcastle University
- Technical University of Denmark
- UiT The Arctic University of Norway
- Uppsala universitet
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- CNRS
- Cranfield University;
- DTU Electro
- Delft University of Technology (TU Delft); today published
- ETH Zürich
- Fraunhofer Institute for Wind Energy Systems IWES
- INESC TEC
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- KU LEUVEN
- Linköping University
- Linköpings universitet
- Loughborough University
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- NTNU - Norwegian University of Science and Technology
- Technical University Of Denmark
- Technical University of Munich
- Universidade de Vigo
- Universidade do Minho - ISISE
- University of Adelaide
- University of Birmingham
- University of Bremen •
- University of Cambridge
- University of East Anglia
- University of Surrey;
- University of Trento
- University of Warwick
- Université Marie et Louis Pasteur
- Vrije Universiteit Brussel
- 34 more »
- « less
-
Field
-
sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR as well as small-scale EMI measurements with root and shoot observations in controlled experiments
-
are categorised as non-destructive testing techniques, but they can be costly considering the number of sensors required and the maintenance of the data acquisition system. Hence, the alternative of direct
-
is to develop machine-learning-based algorithms for transmitter pre-distortion and receiver post-distortion architectures that enable distortion-free quantum communication systems. A key focus will be
-
to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems that act as autonomous micro
-
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
-
, LiDAR, AHRS, and other sensors directly on low-power embedded platforms. Where to apply E-mail resurse.umane@upb.ro Requirements Research FieldEngineering » Electronic engineeringEducation LevelMaster
-
using electromagnetic induction (EMI), and ground penetrating radar (GPR) will be combined with soil sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR
-
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months 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
-
, despite its widespread application, polygraph data capture and analysis has received limited systematic research and does not yet incorporate modern sensors, computing and analytical techniques. Project
-
training network including workshops, courses in topics relevant for the project. Research Fields Endocrinology, Digital Health, Medical Sensors, Systems Physiology, Internal Medicine Secondments