46 postdoc-in-thermal-network-of-the-physical-building PhD positions at University of Nottingham in United Kingdom
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this advanced manufacturing process will open new opportunities: devices with variable mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded
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flexible working practices Applications welcome from candidates from under-represented backgrounds Adjustments available to support candidates with physical disabilities or neurodivergence You’ll be a good
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will then embark on coming up with a suitable design for a generic economic model and construct the model using their software of choice. This new generic model can then be demonstrated by using data
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new family of solid-state Additive Manufacturing technologies, such as Cold spray. The nature of the process utilising low heat input and severe plastic deformation, produces ultra-refined
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: Flexible, likely start February 2026, for 42 months. Candidates must possess or expect to obtain, a 2:1 or first-class degree in Engineering, Chemistry, or related physical sciences related discipline. To
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research. This project builds on previous work completed in Nottingham in the field of pneumonia recovery. How will the PhD outputs impact patient care? The PhD would be expected to lead to a clinical trial
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installations. Building on these research and industrial successes, this project aims to design soft robotic systems capable of fast locomotion within aero-engines and operating end effectors for non-destructive
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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aforementioned tasks with the following actions: Develop the principles and theories for governing the scalability principles for building innovative robotics end-effectors that can access geometrically complex