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investigate both pre-deployment testing techniques and runtime monitoring approaches. This research aims to contribute frameworks and tools supporting systematic Verification&Validation of AI-enabled software
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investigate both pre-deployment testing techniques and runtime monitoring approaches. This research aims to contribute frameworks and tools supporting systematic Verification&Validation of AI-enabled software
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions
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10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification
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systems, carrying out both upstream activities such as requirements quality assurance and regulatory compliance, as well as downstream verification & validation activities, such as software testing and
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related field, with professional experience as a software developer or software engineer or verification engineer in a collaborative team environment. Flexible to travel to other SEI offices, sponsor sites
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Engineering, or related field, with professional experience as a software developer, software engineer, verification engineer in a collaborative team environment. Proven experience in designing and implementing
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, and verification techniques. This position offers an opportunity to shape the rapidly evolving field of Quantum Software Engineering, addressing key challenges in software development workflows, testing
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knowledge of software engineering methods, network/system administration, and version control systems. Good-to-haves Hands-on experience with testing, verification, and documentation of the complex software
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 13 days ago
of the ground truth, for example from tactile probing systems, allows the evaluation of completeness and accuracy of respective software analyses. At least three verification datasets for the three different use