Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- CNRS
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Inria, the French national research institute for the digital sciences
- Monash University
- University of Primorska
- AALTO UNIVERSITY
- Aalborg University
- Fondazione Bruno Kessler
- Fraunhofer-Gesellschaft
- Institute for bioengineering of Catalonia, IBEC
- Instituto de Sistemas e Robótica (ISR)
- KU LEUVEN
- Norwegian Institute of Bioeconomy Research
- Queensland University of Technology
- Technical University of Munich
- Umeå University
- Universidade de Coimbra
- University of Amsterdam (UvA)
- University of Antwerp
- University of Bedfordshire
- University of Newcastle
- University of Southampton
- University of Warwick
- Vrije Universiteit Brussel
- 16 more »
- « less
-
Field
-
, meaning that between seasonal or yearly deployments, the magnitude of change at any point on the seafloor remains below to the detection limit of even high-resolution mapping sensors. In addition
-
potential for covering the growing need for high-precision sensors, both for basic science and for industrial applications. State-of-the-art quantum sensing methods rely on spin defects hosted in three
-
operation in extreme agroforestry and emergency-response environments. The work will focus on three main lines: 1. Sensor placement and resilient multi-sensor system design for field robotic platforms
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Next generation automotive imaging
-
Job description Next generation automotive imaging radars provide increasingly rich 3D information, opening the door to more advanced scene understanding and perception tasks such as 3D object
-
wide range of markets such as automotive, industrial and aerospace. At our Cottbus site, we develop intelligent sensor systems for demanding applications in industry, mobility, aerospace and beyond
-
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
-
time. Even basic electronic sensing systems today require sensors, microcontrollers, memory, and batteries, and are often disposable. For example, temperature and humidity dataloggers used during food
-
to design compact, cost-effective and robust multi-optics imaging systems (i.e. combining multiple optical channels onto a single sensor) which can address these issues. The goal is to create a flexible
-
of these sensors. - Access to the laboratory's experimental characterization facilities. - A collaborative and multidisciplinary environment at the interface of theory, modeling, and experimentation. Scientific