Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Tallinn University of Technology
- Cranfield University
- RWTH Aachen University
- AALTO UNIVERSITY
- Aristotle University of Thessaloniki
- Forschungszentrum Jülich
- Roma Tre University
- Academic Europe
- CNRS
- Delft University of Technology
- Eindhoven University of Technology (TU/e)
- Ghent University
- Linköping University
- National Research Council Canada
- Nature Careers
- RAEGE-Az
- Swedish University of Agricultural Sciences
- TU Dresden
- Technical University of Denmark
- UCT Prague
- University College Dublin
- University of Antwerp
- University of Porto
- University of Southern Denmark
- University of Trento
- Wroclaw University of Science and Technology
- 16 more »
- « less
-
Field
-
Deadline 30 Sep 2025 - 00:00 (UTC) Type of Contract To be defined Job Status Negotiable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
- 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
Job description PhD Researcher for next-generation WiFi chip design on Software-Defined Radio About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is
-
- 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
ECUs are reshaping how connected and autonomous vehicles are designed and validated. The focus is shifting toward creating high-fidelity virtual ECUs that support software-defined vehicle architectures
-
new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
-
with e-CALLISTO instruments or Software-Defined Radios (SDRs). · Familiarity with machine learning for astrophysical data analysis. · Knowledge of solar radio data pipelines and event classification
-
into Cranfield’s Resilient PNT group, with opportunities to engage in industry-led research projects, international collaborations, and experimental campaigns using software-defined radios and multi-sensor platforms
-
Job Description The Centre for Software Technology (CST), part of Maersk McKinney Moller Institute in the Faculty of Engineering at the University of Southern Denmark (SDU), invites applications
-
research visit(s) to UKNNL and/or the University of Manchester. Furthermore the TEM-TA146 RECYCLEST and Euratom EURAD-2 STREAM networks are even broader, providing opportunities to collaborate with industry