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and data-driven planning; design computation and parametric architecture, and adaptive architecture. Civil Engineering - smart transportation, water resources, advanced construction materials
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project The main objective of this PhD project is to explore and analyze bio-inspired neural architectures for early detection from spatio-temporal data under realistic sensing and computational constraints
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures
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for the university and funding agencies. Job Requirements: PhD qualification degree in Computer, Electrical or Electronic Engineering or related field At least 3 years of relevant research experience in AI security
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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interests, skills, previous experience, and why you are applying to this project. On the application system select Programme of Study – PhD Biochemistry. Please select ‘funding obtained’ and state
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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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for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics, computer science, or related fields. o Strong background in quantum algorithms, error
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different dried architectures (skin formation and internal gradients vs porous networks shaped by freezing and sublimation), resulting in distinct stability and release behaviours. This PhD project aims
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, seminars, workshops, and other academic events, and by supporting the planning and delivery of public programming when opportunities arise. Education and Experience Requirements PhD in architectural history