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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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this in further detail at any point in the process please do not hesitate to contact us. The following resource may help you adapt the device you are using to apply to suit your needs My Computer My Way
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/ Associate Professor in Medical Education Join the founding academic team at St Mary’s School of Medicine and play a key role in shaping the curriculum and identity of our new MBBS programme. We are seeking a
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role focused on lead generation, business development and recruitment, working closely with colleagues across marketing, sales and programme teams. You will be responsible for developing innovative
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Structure You will be part of the Informatics Research Centre (IRC), and will work closely with the project leads, collaborators, research staff, NHS clinical and R&D teams from Royal Berkshire NHS Foundation
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clear personal plan to develop a programme of research. Individuals who have been working in practice are strongly encouraged to apply and we will consider fractional posts in order to facilitate split
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(CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery. The postholder will contribute
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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays
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into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling thin-film growth
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and recruitment, working closely with colleagues across marketing, sales and programme teams. You will be responsible for developing innovative campaign strategies, optimising digital performance and