Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Primorska
- Aalborg University
- CNRS
- Deutsches Elektronen-Synchrotron DESY
- ETH Zürich
- Forschungszentrum Jülich
- Heriot Watt University
- Inria, the French national research institute for the digital sciences
- Institute of Photonic Sciences
- KU LEUVEN
- The University of Newcastle
- University of Antwerp
- Università degli Studi di Brescia
- 5 more »
- « less
-
Field
-
-frequency characterisation. Investigate and minimise measurement artefacts associated with grounding, shielding, impedance, parasitic effects, noise and signal integrity. Characterise and compare different
-
an error, GNSS-IR analyses variations in signal-to-noise ratio (SNR/CN0), phase and related observables caused by interaction of the GNSS signal with the land surface. These reflected signals contain
-
to cases with low signal-to-noise ratio and low-power operation. A first research direction will focus on investigating innovative energy harvesting techniques aimed at powering sensors without the use
-
these aircraft share the airspace with conventional traffic, and what that would mean for air traffic control and safety. This is exactly what this PhD project aims to answer! The primary focus of the research
-
an exceptional know-how and experimental methodology, in a high-level scientific environment. The context of frequency metrology requires to master and control the noise sources of the experimental setup as
-
of classical telecom networks for quantum communication and networking. In contrast to classical optical signals, quantum states are extremely fragile and degrade rapidly due to loss, noise, and decoherence
-
introducing narrow-bandwidth active noise compensation. RF field feedback can be further enhanced by investigating variable-gain controllers that adapt to cavity detuning, or exploring other feedback algorithms
-
the integration of advanced sensing technologies, digital twins, and Internet of Things (IoT) infrastructures. In acoustics, monitoring technologies have traditionally focused on environmental noise monitoring and
-
Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
the Auctus team at the Inria center of the University of Bordeaux (Talence). Thisthesis falls within the scope of the team'sscientific axis on the design and control of robotic systems. The project will
-
skills (evidenced by high grades) are required Prior research experience in problems related to fluid mechanics, structural vibrations, model reduction or control is expected Experience in nonlinear