905 phd-sandwitch-in-architecture-and-built-environment PhD positions in United Kingdom
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to develop an SDT that simulates real-time system operation in a dynamic virtual environment. 3. Online Implementation: Deploying the SDT on an evolving online platform, continuously updated with new data and
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effective ways to utilise the current wearable haptic technology we have at Abertay (Teslasuit) with the built-in mocap system for multi-users. To prototype a robust haptic system or environment using other
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architectures for generative AI in industrial environments. This interdisciplinary project addresses critical challenges posed by the deployment of AI in real-world industrial systems—such as unpredictability
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We are seeking an enthusiastic and capable individual to join our team as a PhD researcher in developing instrumentation and simulations to monitor and track satellites. The successful candidate
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A PhD studentship awarded by the Freeman Air and Space Institute (FASI) to support the Institute’s research and capacity building work in the field of air power. Award details In an increasingly
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Psychology and MRC Clinician Scientist Fellow). The post is based in the Research Department of Clinical, Educational and Health Psychology. This is an excellent environment for an early-career researcher
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of Architecture and Built Environment and the School of Computer Science. They will also undertake industrial placement and mentorship at BTS, where they will interact with practitioners, gain insights
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Research theme: Textiles How to apply: https://uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD project is funded by The University of Manchester and an industrial partner and the
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building physics and artificial intelligence. The student will have access to research facilities within the Department of Architecture and Built Environment and the School of Computer Science. They will
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(coordination) and safety constraints can be intractable. Your work will bridge this gap by providing generalizable, provable design approach that apply across a wide range of networked systems. This 3.5-year PhD