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to inform the design of next-generation fusion materials. Translate sophisticated scientific data into impactful insights through clear communication to diverse audiences, including industry stakeholders and
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transfer and laser-matter interactions. The “design-manufacture-inspect-model-test” approach of this project will equip the successful PhD candidate with a wide range of valuable and transferable skills
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successful candidate will develop a public-programme-as-research project and will: Design and deliver a three-year public programme including exhibitions (solo and group), talks, events, performances, digital
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aims and objectives are met. Working closely with the supervisory team, develop and plan research objectives. Present information on research progress and outcomes to, for example, project lead, funding
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, TGF-beta) and anti-tumoral (e.g., IFN-gamma, TNF-alpha) cytokines within the TME under co-culture conditions. We plan to use a flow-based multiplex assay to profile cytokine changes post-RT, identifying
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
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focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
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conjunction with and under the guidance of the Principal/Co Investigator: 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School
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approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally. About the Team The College of Medicine and Veterinary Medicine traces its origins back