Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- University of Luxembourg
- Argonne
- Durham University
- University of Wolverhampton
- Chalmers University of Technology
- Consortium Virome@tlas
- European Space Agency
- Forschungszentrum Jülich
- ICN2
- Jagiellonian University
- Karlstad University
- King Abdullah University of Science and Technology
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Medical College of Wisconsin
- NEW YORK UNIVERSITY ABU DHABI
- National Centre for Nuclear Research
- RCSI - Royal College of Surgeons in Ireland
- Technical University of Munich
- Télécom Paris
- Universidade Católica Portuguesa - CATÓLICA-LISBON
- University of Denver
- University of St. Thomas
- Virginia Tech
- Washington State University
- 15 more »
- « less
-
Field
-
candidate is expected to assume a leading role in defining and scientifically contributing to projects at the intersection of software-defined networking (SDN), software engineering, and quantum
-
may refer to https://www.uni.lu/snten/research-groups/sigcom/ . The successful candidate is expected to assume a leading role in advancing research and experimental work focused on software-defined
-
academic and industry partners. Your profile The candidate is expected to have a PhD in Computer Science, Electrical Engineering, or Quantum Technologies, with a focus on software-defined networks, advanced
-
, Disability, and Women's networks. Library Access - Staff have access to books and resources at our onsite libraries. Staff Scholarship Scheme - Funding for part-time higher education, up to PhD level
-
) under this scheme. With a PhD or near completion or other relevant post-graduate research qualification, the fellows will be creative, enthusiastic and have experience in relevant research, methods and
-
innovative ideas in the described research context. You will be part working closely with the SQuaD (“Software Quality and Digital Modernization”) as well as the PriSec (“Privacy and Security”) research group
-
advancing research and experimental work focused on software-defined networking (SDN), network function virtualization (NFV), and container-based network architectures. The ideal candidate will possess not
-
federated networks. This project is part of the inTRUSTED Living Lab and involves several key components, including defining best practices, standards, and an architectural framework for integrating CDTs
-
environment and impact with the QR funding allocated for the Faculty of Arts, Business and Social Sciences (FABSS). The plan is to support 0.6fte post-doctoral research fellowships under this scheme. With a PhD
-
novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg