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torques to the wearer. The successful candidate will have clinical trial and human subjects experience, will work as part of a larger team to assist with collecting and analyzing data gathered from human
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Biomechanics, Kinesiology, Movement Science, Physiology, or Biomedical Engineering, to assist with data collection and processing for lab and field based studies of back assisting wearable robots. The Research
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Brunel University of London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information
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queries, and dashboards Familiarity with (biomedical) image processing Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large
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agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable
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modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package
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-cell RNA-sequencing data, with a focus on mouse models of age-related macular degeneration. The successful candidate will join Associate Professor Jean Wen’s research group, conducting independent
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: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
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and big data mining. The research fellow will take a leading role in an EU-Africa research project, collaborating with Research Organisations, Academia, and Industry in South Africa, Switzerland, France
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The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype using Large Language