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of Hardware verification, we aim to develop a neuro-symbolic AI platform to convert informal digital design specifications into formally checkable verification artifacts, with logical rigor, traceability, and
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upstream activities, such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis. For further
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and scientific exploitation of state-of-the-art, ground-based gamma-ray telescopes. As a key member of the MAGIC and CTAO-LST collaborations, the group develops critical hardware, software, and data
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research excellence. This position is ideal for applicants interested in logic, formal descriptions, software engineering, and programming. This PhD project focuses on developing a model-based and knowledge
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of more of the following is desired: software engineering and systems design, formal methods, verification, and/or modelling, design and techniques for resilient and reliable systems (e.g. decentralised
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attracting scientists from all over the world conducting world-class research in physical, chemical, and materials sciences. More details about the instruments and their scientific impact can be found at https