Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University College Cork
- Chalmers University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Sydney
- Virginia Tech
- Aalborg University
- KTH Royal Institute of Technology
- UNIVERSITY OF SYDNEY
- University of Luxembourg
- CNRS
- Luleå tekniska universitet
- Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen
- National University of Singapore
- New York University
- Texas A&m Engineering
- The Ohio State University
- University of California Irvine
- University of Canterbury
- University of Southern California
- Villanova University
- Yale University
- 11 more »
- « less
-
Field
-
monitoring campaign, including liaising directly with householders across Sydney and Melbourne to organise home visits, sensor installation, and follow-up data collection deploying and maintaining wireless IEQ
-
Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | 2 months ago
information in freely flying birds. It aims at uncovering which sensory modality the birds use for sound reception during echolocation. Combining behavioral monitoring and cutting-edge wireless technology to
-
. The candidate must hold (or about to complete) a PhD in the related fields. The candidate is expected to have hands-on experience in fields related to wireless communications. Key duties: The Postdoctoral Fellow
-
Networks (CAOS) conducts research and education in wireless and optical technologies for communication and sensing. Combining fundamental and applied research, we address challenges in sustainability
-
Networks (CAOS) conducts research and education in wireless and optical technologies for communication and sensing. Combining fundamental and applied research, we address challenges in sustainability
-
have a PhD in wireless communication, electrical engineering, antenna and electromagnetic engineering, telecommunications engineering, microwave engineering, or a closely related field, and you bring a
-
, reinforcement learning, and/or wireless communications. The candidate should hold a doctoral degree in electrical or computer engineering or related fields. The successful candidate will have a strong publication