Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Delft University of Technology (TU Delft)
- 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
- KU LEUVEN
- Norwegian Institute of Bioeconomy Research
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- Saarland University
- Technical University of Munich
- Umeå University
- Universidade de Coimbra
- University of Amsterdam (UvA)
- University of Antwerp
- University of Bedfordshire
- University of Copenhagen
- University of Warwick
- Vrije Universiteit Brussel
- 16 more »
- « less
-
Field
-
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
-
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
-
monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
-
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
-
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
-
scene, and leveraging that understanding for localization and navigation. A robot builds a picture of its surroundings one lidar scan at a time. Each scan on its own says very little; together
-
the next generation of vision-at-the-edge. Required/Preferred Candidate Skills and Competencies: – Background in analog/digital electronics, or IC design; – knowledge of image sensor architectures
-
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
-
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
-
integrated electrodes. Cell co-culture. Biomolecular characterization. Permeability assays. Epifluorescence and confocal microscopy analysis and image processing. Data acquisition and processing. Sensors and