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inequalities and enhancing professional practice and outcomes in the future. The post will include: Transcription and coding using NVivo software Data analysis Editing and publication experience Working as part
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developing therapeutic translation-focused projects is desirable. Due to the nature of the research at the Kennedy Institute of Rheumatology, this job will require additional security pre-employment checks
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other programs. The employment contract is for the duration of 6 years. The anticipated start date of the position is February 2026. Your personal sphere of influence: You will join the group
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observation-based climate datasets. In addition, we will also use innovative machine learning tools to evaluate the relationship between a set of hypothesised climatic precursor conditions, called (potential
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responsibilities (Research Associate) To take responsibility for effective decision-making in support of research, take initiative in developing research plans, and manage the day-to-day research tasks. To use data
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surgery, indicating the undetectable micro-metastasis. We are currently undertaking a PCUK-funded study to evaluate the use of circulating tumour cells (CTCs) to reflect micro-metastasis and predict post
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continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers. We continue to embrace diversity
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employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will
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international and/or domestic law linked slavery and war (if at all), and responded to slavery in war (including sexual slavery and forced marriage/conjugal associations)? How do survivors’ perspectives and
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, or similar. Strong knowledge of trial design, methodology, monitoring, data management and regulatory requirements (e.g. Good Clinical Practice) Excellent accuracy and attention to detail when managing data