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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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of microbial solvent extracts, fractions and pure natural products. Undertake large scale microbial cultivation to produce, and use semi-preparative and preparative scale chromatography (HPLC, SPE, GEL
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As
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Research Fellow will be employed as part of the newly awarded ARC Linkage grant, titled “Secure Management of Internet of Things Data for Critical Surveillance ”. The PDR will primarily be responsible
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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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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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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