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Job id: 121485. Salary: £44,355 – £49,128 per annum including London Weighting Allowance. Posted: 31 July 2025. Closing date: 24 August 2025. Business unit: Faculty of Life Sciences & Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr. Rachel Sparks. ...
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team, including Prof Murphy (KCL), Prof Christine Ecker (Frankfurt) and Dr Charlotte Pretzsch (KCL). Beyond this core analysis team, the candidate will have the opportunity to collaborate with leading
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in neurodevelopment. This role will focus on data analysis and methods development to develop a better understanding of the mechanisms underpinning typical and altered neurodevelopment, brain structure
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of the largest and most successful centres for research and education in the UK. The Faculty was created as a result of the merger of elements of the School of Biomedical Sciences with the School of Medicine
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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recordings in vivo in rodents, as well as experience in the analysis of Electrophysiological signals. This is a full-time position and you will be offered a fixed term contract until the 1st September 2027
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mental health Knowledge of qualitative, participatory, and creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated
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analysis using software programmes such as NVivo. Strong experience in community engagement (preferably with minoritised ethnic people). Outstanding organisational and record-keeping skills and a capacity to
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of liver metastases and 2) ex-vivo MRI of human liver tissue specimens. You will be responsible for the sequence implementation, data acquisition and analysis, including biophysical models of liver tissue
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About us King’s History is an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative analysis. We