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and RAG modules challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and
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on developing methods for the verification and validation of such product and services system, addressing challenges such as non-determinism, data drift, and explainability. In your research project, you will
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on developing methods for the verification and validation of such product and services system, addressing challenges such as non-determinism, data drift, and explainability. In your research project, you will
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and RAG modules challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and
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processing techniques and machine learning methods to not only suppress interference but also leverage it to enhance sensor performance. The PhD student will play a key role in advancing these new radar signal
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algorithms to minimize interference. This project, in close collaboration with industry partners, will explore both signal processing techniques and machine learning methods to not only suppress interference