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models, real-time telemetry, and AI-enhanced analytics, the research aims to enable continuous simulation and verification across the entire ECU lifecycle—from early model-in-the-loop design to deployment
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this position will be responsible for conducting research in the area of verification, testing and exploration of artificial intelligence models, active participation in lab meetings, scientific seminars and
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; - Experience in programming in React Native, Flutter, and/or C#, software engineering, and version management systems; - Proficiency in English (written and oral communication) will also be valued. 3. Work plan
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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
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, software and other supplies needed (250-500 words) Contact information for three references, who will be contacted by the search committee following an initial review of applicants via http
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verification tools. AMS test diagnostics and fail-log analysis. Your Role as a PhD Candidate You will: Analyze and enhance current automotive IC test flows. Develop new or improved fault models using NXP’s in
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Institute and will be working together with researchers from QuSoft . This PhD project aims to push the state-of-the-art in quantum compilation, verification and/or classical simulation. The exact project
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techniques with open-source autonomous driving software (for sim- ulation and testing) Applicants should fulfil the following requirements: a master’s degree in engineering sciences (preferably in computing
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advantages. We will provide the necessary hardware and software for the real-time control of the machine, but the candidate will be responsible for developing and implementing the control algorithms. A working