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molecular simulation) and the skills involved in using high-performance computing Continual interaction with an ongoing experimental program Introduction to chemical engineering design principles via flow
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
datasets with industry-aligned performance metrics. The successful candidate will join the Centre for Digital and Design Engineering (CDDE), part of Cranfield’s Manufacturing, Materials and Design theme
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at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that can be used to produce high value molecules from lignin rich wastewaters that arise from
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NPL, the UK’s national metrology institute, is developing a fully functioning, thoroughly characterised, local area quantum network (QLAN) linking heterogeneous nodes across its site. It will make
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experience working in the politics and governance sector in East Africa. Have initial high-level professional contacts in East African regional and country institutions that include but are not limited
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, including high throughput experimentation, programming (e.g. in LabView, Matlab) and numerical modelling. They will be joining a thriving, inclusive Chemistry department with excellent facilities
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. The School of Architecture, Computing and Engineering (ACE) at the University of East London (UEL) is deeply embedded in London’s dynamic and diverse communities. Known for its innovative, impact-driven
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 2 months ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties
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on currently circulating clones of gut-associated pathogens. Subsequently, we will perform an observational, longitudinal study on the river Teme to profile the abundance of microbial pathogens. This river is
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performing their own techniques that vary, due to differences in the types of samples (respiratory, blood, waste water, etc) or pathogens (bacterial, viral, fungal) of specific interest. This project aims