Sort by
Refine Your Search
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- AALTO UNIVERSITY
- Heriot Watt University
- Aalborg University
- CNRS
- Delft University of Technology (TU Delft); yesterday published
- GFZ Helmholtz-Zentrum für Geoforschung
- IMT - Atlantique
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- Medical College of Wisconsin
- Northeastern University
- Texas A&M University
- Télécom Paris
- UNIVERSITY OF SYDNEY
- University of Nebraska Medical Center
- University of Oxford
- University of Sydney
- Virginia Tech
- 8 more »
- « less
-
Field
-
for vehicular communications, with a focus on wave propagation characterization and radio channel modeling. • Contributing to the implementation and preparation of measurement campaigns. • Analyzing measurements
-
Role: Postdoctoral Research Associate in Radio Frequency (RF) Power Amplifier Grade and Salary: Grade 7 - £37,694 - £47,389 Contract Type: Full-Time (35 hours per week), Fixed Term (36 Months
-
management Cognitive radio or adaptive communication systems, including dynamic spectrum access, band selection Heterogeneous network architectures, including terrestrial and non-terrestrial networks Deep
-
following research topics: Resource allocation for wireless networks Radio resource management and mobility management Cognitive radio or adaptive communication systems, including dynamic spectrum access
-
include cognitive and adaptive spectrum use as well as localization of targets or signal sources in passive-sensing settings. This is central to future 6G wireless communications applications, where radio
-
requirements include Expertise in several areas among the following is desired: radio system modeling, electromagnetics, antennas, propagation, RF frontends, radar. Demonstrated expertise in channel modeling and
-
addition, it conducts research on digital signal processors for software-defined radio, aiming to balance flexibility with energy efficiency. The team also develops innovative tools such as TTool, an open
-
processing, convex optimization, distributed processing, machine learning, and tensor analysis. Our applications span various domains, including audio and acoustics, wireless communication, radio astronomy
-
communications (ISaC) to network design using O-RAN; from statistical learning theory to software defined radio (e.g., USRP) prototypes. The Bradley Department of Electrical and Computer Engineering has both
-
advanced technologies and infrastructure to research solutions and to transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable