76 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" PhD scholarships at Newcastle University in United Kingdom
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. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply For information on how to apply
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PhD studentship in Mechanical Engineering: Engineering a Synovium-on-a-Chip Platform for Human-Relevant Inflammation Studies Award Summary 100% fees covered, and a minimum tax-free annual living
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the physics of both static and dynamic molecules. Further details: https://gtr.ukri.org/projects?ref=MR%2FX03660X%2F1 The student will gain expertise in nanofabrication, microscopy, and electrokinetic
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well as at CEH and UCL. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https
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applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3@4a5378f9-29f4-4d3e-be89-669d03ada9d8
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biosensors that integrate platform sensing technology with tailored electroactive materials to enable precise and reliable detection of key TLS-related biomarkers using robust, user-friendly electrochemical
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PhD Studentship in Chemical Engineering - Electrochemical biosensors for point-of-care monitoring of life-threatening cell breakdown in blood cancers Award Summary 100% fees covered, and a minimum
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. Overview This project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The aim of the PINZ CDT is to train the next generation of chemical engineers and chemists
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mitigate climate impacts while benefiting both society and the environment. This research will explore how robotics are applied in sectors such as construction, manufacturing, and defence, and assess how
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(Studentship code MSP108) Data structures and postprocessing for phylogenetic MCMC (Studentship code MSP109) Time-changed MCMC for complex sampling (Studentship code MSP110) Statistical learning for extreme