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monitoring and enforcement of international conservation agreements such as CITES. Key responsibilities include data preparation and analysis, experimental evaluation of AI models, preparation of visual and
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high-quality statistical input and leadership to research projects, including input to the design, analysis, and reporting of studies. With exceptional interpersonal skills you will relate well to others
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Demonstrated experience with quantitative or qualitative social research, including surveys and interviews. Essential Application/interview Familiarity with data analysis methods, including thematic analysis
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in the collection, documentation and analysis of biosamples. Analyse and record clinical data to aid the design of the research data. Prepare papers for journals / presentations either in-house or
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wide variety of translational neuroscience research programmes. The focus of the role will be analysis of large clinical datasets from PRECISION-ALS (n~20,000) and PRO-ACE to develop prediction models
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machine-learning-driven content analysis of referral notes and use this information, alongside contextual factors, to distinguish who is likely to attend their initial assessment versus who is not
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qualitative data using thematic analysis and software such as NVivo. Implementing effective strategies for participant recruitment, particularly healthcare staff in clinical settings. Organising and conducting
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image analysis and reconstruction research on magnetic resonance imaging of the lungs and heart in children (including neonates), and will be based in the POLARIS group, which is internationally
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, in all collaborative activities. Maintain confidentiality and comply with data protection requirements. Conduct joint Learning Needs Analysis (LNA) with divisional leaders to identify and address staff
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experience in qualitative and quantitative methods as well as real-world evaluation. The work will include primary data collection (surveys, interviews, focus groups), data analysis (qualitative, quantitative