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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 systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
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requirement for the developed model is that it can handle different loading conditions, different loading areas and new mining methods. In addition, adaptation to real operational mining conditions requires
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methods relevant to human ecology would be an advantage experience of teaching in the Swedish language Application The application is to be submitted electronically to the Lund University e-recruitment
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Lund University Visiting Professors Programme Lund University invites expressions of interest for its Visiting Professor Programme. We seek individuals eager to engage with our vibrant research
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qualifications required for employment as associate professor. The Computer Vision Laboratory (CVL) is looking for an assistant professor in machine learning with a focus on motion analysis from video. CVL is a
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for assistant professors with an international background. Our ambition is for you to be nominated for this programme, as one of Lund University’s candidates of excellence. Read more about the Swedish Research
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for Assistant Professors with an international background. Our ambition is for you to be nominated for this programme, as one of Lund University’s candidates of excellence. Read more about the Swedish Research
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and healthcare. The approach is interdisciplinary and may include concepts and methods from the humanities, social sciences or the arts, but also law, economics or engineering. The position reflects
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
tailored to individuals with similar molecular susceptibility patterns and responses to preventive treatments and actions. The area of research encompasses advanced computational methods based on multimodal