633 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" PhD positions in United Kingdom
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will see, even before we arrive (e.g., if we walk into a cafe, we know the next scene will likely contain a front counter along with tables and chairs). Yet over a half-century of scene processing
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, they can utilise temporal and spatial diversity whilst simultaneously exploiting shared, intelligent adaptive signal processing whose combined performance and resilience can easily exceed that of the sum
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Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
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processes, exploring wave energy propagation and other marine hydrodynamics towards minimising uncertainty of low resolution datasets Participate in research aimed at the dynamical downscaling of ocean models
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PhD studentship in Bio-electronics – Localising invisible breast cancers during surgery Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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diagnoses annually. Surgery (lumpectomy or mastectomy) is the best line of treatment. To enable surgeons to identify the cancer tissue, radiologists insert a localisation device (RFID, magnetic seed
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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About the role The post is funded by the DSTL to investigate the processing of highly textured ceramics for armour applications The parasitic nature of armour systems means that their weight imposes
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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data, and digital process tools to support the scalable production of resilient, build-ready reactor components. Please contact Dr Kai Zhang (k.zhang@bristol.ac.uk) for further information. This project