56 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at King's College London
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( https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic technologies and of novel nanomaterials to address modern challenges in photonic
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critical minerals essential for clean technologies. By capturing the voices and silences of those most affected by extractive industries, the project aims to build a bottom-up, data-driven framework
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the increasing demand for advanced statistical expertise in clinical trials, including first-in-human studies, trials involving digital health technologies, real-world data analyses, and translational research
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epilepsy using very large EHR datasets. Real world data in EHRs includes extensive and rich detail about the presentation, phenotype, investigations, diagnosis, comorbidities, treatments, encounters with
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, including first-in-human studies, trials involving digital health technologies, real-world data analyses, and translational research. The post holder works as part of a team, with day-to-day responsibility
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in
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members in data analysis best practice and accurate record keeping and will be encouraged to present at international meetings and publish in high-impact journals. A major component of the position will be
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, clinically validate, and prospectively evaluate, a novel in-silico tool that uses patient imaging data to reconstruct personalised ‘digital twin’ cardiac models to provide pre-procedural ablation target
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institutions, you will take a prominent role in coordinating research activities, disseminate information and contribute to creative outputs. You will engage in all aspects of the project, including
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and