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Field
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of degree programme lead or equivalent, ideally at MArch level, and with an understanding of the ARB and RIBA accreditation/validation processes. The appointee will deliver teaching on our Architecture (BArch
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, multidisciplinary research environment, at the centre of which are several innovative research groups and centres. We have a well-established PhD programme and you can study with us in, or across, a wide range of
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programme and curriculum planning, development, validation, accreditation and administration of architecture-related programmes; (c) supervise undergraduate and postgraduate research projects and theses
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Positioned within Ulster University’s School of Computing, this research theme advances cutting edge artificial intelligence and Internet of Things (IoT) solutions for healthcare and wellbeing
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interface. This PhD project aims to develop a flexible electrochemical sensing interface capable of capturing local physicochemical changes in real time. The work will explore biocompatible, deformable
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A fully funded four-year PhD position is available to work on the project titled “Fault-Tolerant Architectures for Superconducting Qubit Quantum Computers”. This position is a collaborative
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anticipated that the initial focus of the project will be on transmon design, before extending methods to emerging architectures such as unimons. The PhD will suit a candidate interested in optimisation
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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas
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following skills and experience: Essential criteria MSc/PhD or equivalent experience in computer science, informatics, or a related discipline. Significant experience in large-scale data engineering and