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PhD in human in-vitro immunotherapy testing for autoimmune disease Faculty: Faculty of Veterinary Medicine Department: Department Biomolecular Health Sciences Hours per week: 36 to 40 Application
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive Testing (NDT) – a
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Delft and NXP Semiconductors as a PhD researcher developing next-generation testing solutions for analog and mixed-signal automotive chips. Job description The Computer Engineering (CE) section
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Delft about the new insights we gather. We will focus on open science, sharing our results to help developers across the world. Predictive Software Testing This track focuses on creating an intelligent
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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists of the Great Western Four alliance of the University of Bath, University of Bristol, Cardiff University and...
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Abstract: This is a unique opportunity to join a cutting-edge PhD project in collaboration with leading energy materials researchers and industry partners. Ion-exchange membranes are key to electrochemical devices, yet balancing performance and stability remains a challenge. This project will...
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Deadline: All year Round How to apply:uom.link/pgr-apply UK only This PhD studentship is open to Home (UK) EU applicants with pre-settled status (funded by TWI Ltd). The successful candidate will receive an annual tax-free stipend (depending on circumstance) set at the UKRI rate (£20,780 for...
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Title: Next-Generation Membrane Testing for Fuel Cells and Electrolysers Using Terahertz Spectroscopy Abstract: This is a unique opportunity to join a cutting-edge PhD project in collaboration with
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material properties affect dimensional accuracy and aerodynamic behaviour, ultimately improving the reliability of aerodynamic testing. The project combines additive manufacturing, data analytics and fluid