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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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PhD Studentship: Experimental Investigation of Pharmaceutical Tablet Disintegration and Drug Release
will explore the science behind tablet disintegration and drug release, using advanced imaging and analysis techniques to improve drug design and manufacturing. You will work closely with a UKRI-funded
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HealthTech Research Centre in Brain Injury (HRC) Fellowship Programme, which has been designed to support the research needs across its 5 themes: prevention & education, acute care & monitoring, restoration
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metal joining technologies. In Tokamak Energy’s fusion pilot plant design, vanadium (V) alloys, especially V-4Cr-4Ti (V44), is the preferred FW/blanket structural material due to its outstanding thermal
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attitude, and be a good communicator. The post holder will be located in the Whittle Lab., West Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to help the team design build and
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decarbonisation design group , a community of doctoral researchers investigating ecosystem solutions to decarbonise the digital world. We welcome applicants from diverse backgrounds including business and
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*Home fee status applicants from a Law background are invited to apply* The Centre for Doctoral Training in Safe AI Systems (SAINTS CDT) is the UK’s first multidisciplinary PhD programme focused
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, showing potential to treat various cancers. The aim of this project is to use a multidisciplinary approach involving (bio)chemistry, computer aided drug design, cell biology and genetics to develop more
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candidate will join the energetic human-centred computing group led by Professor Moi Hoon Yap. Project aims and objectives The project aims to design innovative deep multimodal learning methods to understand