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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
? This PhD, working with Prof. Marcelle McManus , provides an opportunity to work to explore and advance novel decarbonisation solutions for high-energy use industrial sites. Your project will be co-created
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bottlenecks facing flexible and large-area metal oxide electronics: the scarcity of hole-transporting (p-type) oxide semiconductors. Developing p-type materials with performance on par with their commercialized
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installations. Building on these research and industrial successes, this project aims to design soft robotic systems capable of fast locomotion within aero-engines and operating end effectors for non-destructive
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performance. However, calculating defect formation energies and migration barriers using first-principles methods remains a major bottleneck in the materials discovery process. To address this, we will develop
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the skilled worker route, you will therefore need to demonstrate your own right to work in the UK. Commitment to Diversity The University of Liverpool is committed to enhancing workforce diversity. We actively
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hepatitis C virus (HCV)) among migrants to high-income countries through systematic review and, if appropriate, meta-analysis; • building on previous work linking administrative immigration data with
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School of Engineering Funded PhDs Funded opportunities to work on specific research projects in a variety of areas across the School of Engineering. Eligibility: PGR applicants in the School
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University, offering a unique opportunity to work at the interface of academia and industry. In partnership with Xstrahl, a leader in preclinical radiotherapy, this project will use the Small Animal Radiation
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research. This project builds on previous work completed in Nottingham in the field of pneumonia recovery. How will the PhD outputs impact patient care? The PhD would be expected to lead to a clinical trial
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in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations