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Field
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research and desk-based responsibilities for study design and management, data analysis and dissemination. You will have experience of conducting experimental psychology research with human participants
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that are applied for proteome characterisation to a high degree of precision including sample preparation, LCMS and data analysis is also essential. Specialist knowledge in the discipline, proven ability to manage
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investigating the microbiological and immunological basis of noma. You will lead defined components of the bioinformatic analysis of shotgun metagenomic sequence data generated from oral samples collected from
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administration, participant recruitment, liaison with schools, and quantitative and qualitative data collection and analysis with young people and professionals. Tasks will include developing and conducting
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. They will play a central role in data management, statistical analysis, interpretation of findings, and the preparation of outputs for academic, policy, and practitioner audiences. The role offers
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assessment in infants or young children. Experience of longitudinal or cohort research, data analysis, research proposal development, global child health or cross-cultural assessment would be advantageous. You
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visualizing large-scale, complex data. For the vacant position, we particularly search for a colleague experienced in computational text and/or image analysis and processing platform data. Your future tasks
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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major Cancer Research UK strategic programme investigating how colorectal cancer responds to therapy through the integration of spatial biology, computational analysis and clinical research. Working
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; or sustainability transitions. Research Methods: Demonstrate experience in designing and conducting rigorous qualitative and quantitative research, including the collection and analysis of primary and secondary data