Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- CNRS
- NTNU Norwegian University of Science and Technology
- AALTO UNIVERSITY
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- Technological University Dublin
- Umeå University
- University of Primorska
- Blekinge Institute of Technology
- CESI
- Chalmers University of Technology
- Delft University of Technology
- Faculdade de Ciências e Tecnologia
- GFZ Helmholtz-Zentrum für Geoforschung
- Institute of Photonic Sciences
- KU LEUVEN
- Leiden University Medical Center (LUMC)
- Luxembourg Institute of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- TU Delft
- University of Birmingham
- University of Potsdam •
- University of Twente (UT)
- VIB
- 16 more »
- « less
-
Field
-
obscure the losses that designers need to understand. Within the EU Chips Joint Undertaking project Moore4Power, the University of Twente will develop new measurement sensors and methods for evaluating
-
on https://www.heliabiomonitoring.com/publications . The research group integrates laboratory-based and computational approaches for advancing sensor technology and bioengineering. Research is done in close
-
system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
-
competition on Sensors for Health (www.sensus.org ) and the international symposium on Continuous Real-time Biomolecular Sensing (https://sensus.org/symposium ). Where to apply Website https
-
tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless communications
-
sensors capable of characterizing the dynamic state of buildings and their inhabitants. By combining multi-microphone acquisition techniques with state-of-the-art machine learning methods, acoustic sensing
-
the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
-
’–mechanical networks built from many sensors and actuators that locally communicate with one another to achieve collective functionality. These active networks could enable next-generation bioinspired robots
-
Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
-
universities and focused instruction by ICFO professors, in a stimulating, international and interdisciplinary environment . PhD-students have the opportunity to take advantage of our network of excellence