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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional
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instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing
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(ISAC) for Future 6G Radio Access Networks. This exciting opportunity will see the successful candidate work on a collaborative research project with Interdigital, addressing technology creation
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(ISAC) for Future 6G Radio Access Networks. This exciting opportunity will see the successful candidate work on a collaborative research project with Interdigital, addressing technology creation
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision
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applications to medical data. The project will combine theoretical work on multiparameter persistence with the design and implementation of algorithms for medical image analysis. The successful candidate will
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entitled “The Dynamics of Pregnancy: Integrating Imaging, wearables, and modelling to uncover Maternal-Placental-Fetal Interactions”. The overall aim of the project is to identify risk markers associated
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using techniques such as X-ray micro-computed tomography and X-ray Absorption Near Edge Structure (XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and
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and diamond imaging efforts in a growing quantum engineering laboratory. • Access to a multidisciplinary research environment spanning nanofabrication, photonics, optomechanics, Brillouin physics