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cases involve various degrees of image analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in
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: Modelling products and production systems Modelling operations strategy Circular manufacturing systems Twin transition of supply chains Data-driven Operations and Supply Chain Management Enterprise systems
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development At Aalborg University, our philosophy of teaching is the world-renowned Aalborg model of problem-based learning (PBL). Documented experience with this learning approach is considered an advantage
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at an international level developing deep learning, vision transformers, graph neural networks, foundation models, or related methodologies for integrating diverse imaging data with clinical, laboratory, and genomic
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, graphical models, and/or Bayesian methodologies for resolving disease heterogeneity, identifying gene-gene networks, or improving integrative genomic prediction models for common complex human diseases, with
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learning for foundation models, reinforcement learning, variational autoencoders or agentic AI. Theoretical insight into contemporary neural networks such as transformers is essential, and knowledge
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Communication skills Experience and quality of teaching and curriculum development At Aalborg University, our philosophy of teaching is the world-renowned Aalborg model of problem-based learning (PBL). Documented
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, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within
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, generative design, building performance optimization, digital design methods (e.g., predictive modeling, multi-agent systems and algorithmic techniques for architectural design), digital design epistemologies