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cells or the tumor microenvironment reduces tumor growth and extends survival in preclinical models, underscoring their potential as dual-function therapeutic targets. To address this, we aim to develop
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Project Overview This PhD project is part of an Innovate UK-funded research programme focused on developing a novel ammonia-fueled engine and generator set (genset) demonstrator for harbour and
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the Uehiro Oxford Institute. This role would be suitable for an individual who would like to gain research experience prior to applying for PhD study. About us Based in Littlegate House, the Uehiro Oxford
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increase healthcare access. Further, such technologies can facilitate remote training monitoring and performance enhancement for athletes. Developing accurate, low-cost, comfortable technologies
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is in collaboration with GSK and we will work closely with experts from GSK. The Departments of Mathematics is part of the Computational Foundry, a world-class centre for computational research, part
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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the Uehiro Oxford Institute. This role would be suitable for an individual who would like to gain research experience prior to applying for PhD study. About us Based in Littlegate House, the Uehiro Oxford
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Demonstrator’s role: In addition to meeting the requirements of a PhD research student, demonstrators will be expected to spend a minimum of 144 hours per year to education activities commensurate with
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to the renewable energy revolution. Work with Industry Leaders: Collaborate with John Crane, a $1B global technology company driving innovation in sealing technologies. Gain Hands-On Research and Industry Experience
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework