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About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding
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the link to our benefits website . What next This role is 36.25 hpw and is available from September 1, 2026 to August 31, 2028 with potential for continuation. Further information is available in the role
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quantitative and qualitative data, and contributing to intervention delivery and monitoring. You will work closely with academic and clinical collaborators and help build effective relationships with a range of
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to ensure compliance and safe use of the technology Data capture, recording of data and report writing to a professional standard. The successful candidate must possess: Ability to work independently and as
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We are looking for an experienced researcher with expertise in the generation and analysis of quantitative education data to work in the Observatory for Mathematical Education ; a collaboration
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of next-generation RNA sequencing (RNA-seq) data from patient-derived extracellular vesicle samples to identify DLB-specific RNA signatures. They will also support the implementation and evaluation
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Wilson, Professor of Agricultural Economics, and will undertake data extraction, analysis and modelling of on-farm practices from panel data drawing on the Farm Business Survey (FBS). The successful
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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or equivalent; solid understanding of power converter design including topology selection, gate drive design and EMC; practical lab skills in converter characterisation, instrumentation and data acquisition; and
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analysing reaction performance, interpreting experimental data, and contributing to publications and future funding opportunities. This is an excellent opportunity to work at the interface of materials