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. Funded by Innovate UK through a Knowledge Transfer Partnership (KTP), the Fellow will lead the development of an end-to-end AET testing framework, encompassing data assembly, software interfacing, test
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plant production techniques. Alongside identifying and validating propagation techniques and peat-free alternatives, we will develop new AI search tools and explore cultural shifts in horticulture
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materials, with microwave metamaterial and device designs, to help develop a new class of reconfigurable electromagnetic structures. This will involve using various simulation programmes, both for mechanical
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, and (4) co-produce recommendations with disabled people to make politics more accessible. The post holder will take a prominent role in developing the conceptual and methodological innovations to study
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hydro-thermal conditions. Key Responsibilities: Design, develop, and set up experimental systems for novel fracturing and faulting modeling Conduct advanced numerical modeling and inversion studies
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Clinic, you will have access not only to pathology slide data, but the full spectrum of multimodal and longitudinal clinical data needed to develop personalized diagnostic or predictive AI tools. As a
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technology during recruitment. Towards the end of the trial the postholder will use surveys and interviews with staff to develop an implementation plan using Normalisation Process Theory (NPT). The Research
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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medical isotopes, body composition, detector development, health physics, dosimetry, neutron metrology, nuclear engineering, neutron radiography, neutron activation, bone and joint research. The research
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of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. Liverpool John Moores University has been awarded funding from UKRI to develop the Med-IREN