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will investigate both pre-deployment testing techniques and runtime monitoring approaches. It aims to contribute frameworks and tools that support systematic V&V of AI-enabled software-intensive products
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examine at doctoral level and mentor postdoctors The assessment of pedagogic skills will consider the ability to plan, conduct and evaluate their own teaching at first, second and third cycle level
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examination and expected examination date Name and contact information to 2-3 references Apply via our recruitment system Varbi. The deadline for applying is August 22, 2025. About us The Department of
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the subject area ability to independently initiate, lead and develop innovative research within the subject area ability to attract external funding in competition ability to supervise and examine at doctoral level
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bridges fundamental understanding with advanced modelling and testing capabilities, applied to real-world engineering challenges. We are internationally recognised for our expertise in experimental testing
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and examine students at every level of education an ability to vary teaching methods and examination formats in relation to anticipated study results and the nature of the subject experience of
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at university level. The criteria for evaluation are: an ability to plan, implement and evaluate teaching and an ability to supervise and examine students at every level of education an ability to vary teaching
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experience of pedagogical leadership in the form of course responsibility, examination and course development. Documented experience of supervision of students at different levels. Documented training in
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, secure, and reliable services that allow this research to take place, often with sensitive data. We also try to share what we do to enable others to do the same. We normally build with open standards and
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of the project. You will also contribute to field studies and collaborate with public and private stakeholders to test and validate the monitoring technologies. Participation in national and international