595 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" PhD positions in United Kingdom
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strong social economy. Building on reflexive ethnographic methodology, data will be analysed collaboratively with the research participants. During fieldwork the researcher will undertake ethnographic
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Doctoral Training Grant Funding Information This funding model includes a 48-month funded PhD Studentship, set in-line with UK Research & Innovation values. For 2026/7, this will be £21,805 per year
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, full-time home tuition fees paid, and £2,000 per year for consumables and travel. Funding from the MTC requires passing their security checks before starting the PhD. How to apply For further information
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About the project: Developing a Theory of the Magnetic Fingerprint of Stress in Materials Supervisor: Dr Chris Patrick, University of Warwick In the development of sustainable materials and
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About the project: Fast and Flexible Nested Sampling via Collective Move Dynamics for Molecular Systems Supervisor: Dr Livia Bartók-Pártay, University of Warwick Organic matter encompasses a range
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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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About the project: Advanced Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid
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About the project: Multi-scale modelling of Thin Film Deposition with Flowable CVD for Next-gen Semiconductors Supervisor: Dr Bora Karasulu, University of Warwick This project, co-funded by Merck
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About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven