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candidates from all backgrounds to join our community. Postdoctoral Researcher: AI-Enhanced Adaptive Design for Dynamic Landscapes School of Arts, Design and Architecture – Department of Architecture Location
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ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field. Specialization in
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have a PhD (or equivalent professional experience) in an appropriate engineering discipline (Naval Architecture/Civil/Structural Engineering /Mechanical/Renewable Energy/Engineering Management). The post
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have a PhD (or equivalent professional experience) in an appropriate engineering discipline (Naval Architecture/Civil/Structural Engineering /Mechanical/Renewable Energy/Engineering Management). The post
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frameworks and transformer architectures applied to biological sequences would be advantageous. You should have a PhD in bioinformatics, evolutionary biology, machine learning or similar. The post fixed term
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validation, which will be led in collaboration with our partners. Essentials include a PhD (or near completion) in mechanical/chemical/thermal sciences or related field; hands-on experience in sorption
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travel to Switzerland for data collection and collaboration with project partners. The role is fixed term for a duration of 18 months. ABOUT YOU Applicants should hold a PhD in Architecture, Urban Design
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candidates from all backgrounds to join our community. Postdoctoral Researcher: AI-Enhanced Adaptive Design for Dynamic Landscapes School of Arts, Design and Architecture – Department of Architecture Location
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JOB DESCRIPTION Reports to: Senior Lecturer in Architecture & Urbanism Contract: 3-year fixed-term Location: London, UK or Dumfries House, Scotland with hybrid working possible The King’s Foundation
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ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field. Specialization in