34 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Leeds in United Kingdom
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Chemistry and Biology within the School of Biomedical Engineering & Imaging Sciences at King’s College London (KCL), with major additional contributions from colleagues at Queen Mary University of London and
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Number of Positions: 1 Eligibility: UK Only Funding: School of Chemistry Studentship in collaboration with the Schools of Mechanical Engineering and Chemical & Process Engineering, in support of
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and skilled IT Supplier Relationship Manager to join our Product Engineering team. You will lead the management of external IT suppliers and service providers, ensuring that services are delivered
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studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans
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i.e. LCD TVs. Augmented and Virtual Reality technologies are the next logical step in display device technology. However, incumbent materials lack the requisite performance for Augmented and Virtual
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them for careers in the medical technology sector and its underpinning research. As MSCA PhD Fellow (DC3) in Leeds, you will develop modular, multivalent glycocalyx probes to study density‑dependent
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the medical technology sector and its underpinning research. As MSCA PhD Fellow (DC1) in Leeds, you will develop new analytical tools to probe the sticky diffusion of biocolloids in molecularly defined models
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the medical technology sector and its underpinning research. As MSCA PhD Fellow (DC1) in Leeds, you will develop new analytical tools to probe the sticky diffusion of biocolloids in molecularly defined models
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Development Manager Email: K.O.Hunter@leeds.ac.uk We acknowledge candidates may use technology, including AI, to assist with job applications, however we expect that all materials submitted reflect
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an existing open-source malaria transmission model (in partnership with the model developer) to embed these new water layers. Model outputs will then be validated using remotely-sensed datasets and existing