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a M.Arch, MLA, or other terminal degree in Architecture, or a PhD in Architecture, Engineering, or a related field by the employment start date; and demonstrated potential to attract external funding
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of Architecture (UF SoA; https://dcp.ufl.edu/architecture/ ) is known for its rigorous and interdisciplinary design studio curriculum and culture, including numerous international opportunities and academic
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10 Dec 2025 Job Information Organisation/Company University of Siegen Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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or the design and construction industry. Demonstrated ability or potential for effective teaching in design studios and non-studio core professional program courses in architecture as
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, the programme spans a wide range of scientific domains, including architecture, anthropology, arts and culture, computer science, history, literature, linguistics, management, and more. Selected candidates will
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carrying on in Borders & Territories Group, at the Architecture Department at TU Delft. Requirements For this full-time, fully funded PhD position, we are looking for a highly motivated candidate with: A
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the PhD programme of Aalborg University. The project is conducted under the supervision of Reza Tadayoni, Associate Professor at Aalborg University, and Helle Sjøvaag, Professor at the University
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, spouse employment assistance To apply? Please send your CV along with Cover Letter to info@phd-jobs.net mentioning reference code ML-103 Contact person: Vitaly Pryadka Tel.: +40 765 734 800 Web: http
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an introductory 3-credit course in historic preservation for students in the Architectural Studies Program and other interested students in the Dietrich School of Arts & Sciences. You can read about the program on
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 22 days ago
Essential qualifications: Advanced degree (Master's or PhD) in Computer Science, AI, Machine Learning, or related field Demonstrated expertise in large-scale generative AI systems (inference and training