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and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting the research in combining AI techniques with formal methods
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and graduate levels. Extensive knowledge and experience in psychological or education research methodologies, able to manage and analyse large data sets. Proficiency in data analyses software, including
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Responsibilities: Collaborate on application-level and system-level architecture design for AI-oriented software-configurable NoC systems. Design reconfigurable on-chip communication components using emerging
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oriented architectures and NoC (Network-on-Chip) enhancements with a focus on long-term security, integrated hardware security functions, hardware root-of-trusts (RoT) and cryptographic agility Knowledge and
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and NoC (Network-on-Chip) enhancements with a focus on long-term security, integrated hardware security functions, hardware root-of-trusts (RoT) and cryptographic agility Knowledge and/or experience in
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, instrumentation development. Interface software development. Know how in optical sorting is a plus. Good record in technical documentation writing, including IPs Experience in materials recycling is a plus
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/sensing applications. Design the quantum sensing prototype for wireless communications/sensing applications. Conduct software simulations and hardware experiments. Document research outcome to publish at
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parallel clusters Integrate existing physical models into new software infrastructure for EOS research Benchmark against existing methods and support reproducible, open-science practices Collaborate closely
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project is required to: Investigate the role of generative AI tools as boundary objects in large-scale systems and software development. Conduct longitudinal qualitative research on the adoption
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autonomous robots or network localization. Experienced on multi-agent systems, trajectory planning, learning or control. Good publication records and demonstrable intellectual excellence. Familiar with various