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architecture, computer science, environmental science, ecology, or a related field. Experience with AI/ML/DL techniques (e.g., generative adversarial networks, convolutional neural networks, or other emerging
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interactive prototypes for scenario testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in
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candidates from all backgrounds to join our community. PhD Researcher: AI-Enhanced Adaptive Design for Dynamic Landscapes School of Arts, Design and Architecture – Department of Architecture Location
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier