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Field
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especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory
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. They will also help coordinate and implement future field campaigns to fill key field data gaps. Additionally, the successful candidate will be responsible for advancing cutting-edge methods for quantifying
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to the ongoing research in Prof. Marcotti’s laboratory by designing, developing and performing experiments, data analysis and disseminating the findings by writing articles and by presenting findings
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of bioinformatics tools for RNA sequencing data analysis. Previous and experience with RNA sequencing, including sample preparation. Downloading a copy of our Job Description Full details of the role and the skills
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, protocol development and laboratory diet planning. Leading on participant recruitment, data collection and analysis. Supervising a graduate level research assistant to support data collection. To support the
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how it impacts community dynamics, gender roles and livelihoods. Key Duties & Responsibilities Research Lead high-quality research including baseline socio-economic assessments, social impact analysis
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) Knowledge of intersectionality-informed approaches to research including in data collection and analysis. Good collaboration skills, including with people with lived experiences, other research and academic
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, & creative research methods Experience in analysing qualitative data using thematic analysis and analysis software (e.g., NVivo) Demonstrated ability to work collaboratively with research teams and people with
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show evidence of understanding, expression and application of concepts and methods. Strong data analysis skills, especially in applied econometrics and statistical methods within health economics are
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sufficient specialist knowledge of the discipline to work within established research programmes and show evidence of understanding, expression and application of concepts and methods. Strong data analysis