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Field
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Federated learning (FL) is a privacy-preserving distributed learning paradigm that allows different clients to create a shared AI models without having to share their data. Despite these advantages
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About Us Applications are invited for a clinical research fellow in Cardiac MRI to undertake clinical and research focussed on advanced cardiovascular magnetic resonance imaging under
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neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing multidisciplinary research and play an active role in developing novel
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internationally recognised for its research in craniofacial biomechanics. Located in UCL Mechanical Engineering and supported by state-of-the-art imaging and material characterisation facilities, the lab focuses
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Applications are invited for the role of Clinical Research Fellow within the Academic Unit, Mental Health and Clinical Neurosciences, based in F3, in the Magnetic Resonance and Precision Imaging (MR
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, therapeutic intervention and psychopharmacology, and child/family studies. Facilities include functional magnetic resonance imaging (fMRI), electroencephalography (EEG), neurostimulation (TMS/tDCS
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software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v
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for mechanistic analysis of meiotic crossover interference and high resolution imaging of single molecule dynamics of chromosomes Basic Qualifications expertise in high resolution imaging, knowledge of mitotic
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remaining barriers to commercialisation by manufacturing and operating a containerised system with increased power and capacity (10 kW, 20 kWh) in Nepal. Prototype performance will be characterised under real
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cluster provides shared access to state-of-the-art instrumentation across multiple imaging platforms and techniques, technical expertise, and assistance in optimal image collection and analysis