434 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" PhD positions in United Kingdom
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- HydroGraph ) Start date: 6th October 2025 Project Description – The aim is to develop a fundamental understanding of the reinforcement mechanisms enabled by FGA-1, including its impact on application
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the foundation for the development of a 'space-based early warning system' of a swarm of micro satellites each to individually tag asteroids that could hit the Earth. The post will provide an excellent opportunity
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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conditions. The specific aims are: To optimise large-scale production of a high-value carotenoid compound that is naturally released in nanoparticle form by a marine alga. Develop a mechanistic understanding
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respond over time (e.g. changing shape), controlled by the arrangement of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug
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, covering all cardiac conditions. This makes them unsuitable for identifying rare or complex cases, where annotations are scarce or unreliable. Recently developed unsupervised learning methods allow
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of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug delivery or regenerative medicine. The student will formulate new 3D-printable
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mechanisms, with the current generation having significant drawbacks, including low energy efficiency, high operating voltage or temperature. This project will develop the materials, methods, and designs
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) their undergraduate degree in physics, engineering or chemistry (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research
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Development of novel processing techniques Modelling techniques that can inform the direction of experimental activity Physical, mechanical and materials characterisation techniques Data-driven approaches