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Field
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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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Modeller to support our Ocean, Coastal and River Engineering (OCRE) Research Centre. The successful candidate would be someone who shares our core values of Integrity, Excellence, Respect and Creativity. We
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offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
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resilience, will be considered a significant asset. Familiarity with risk communication and stakeholder engagement strategies to translate complex modeling results into actionable planning guidance. Background
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cellular immunology. The incumbent will also be involved in the oversight of multiple in vivo mouse models of disease. The Research Assistant Technician will maintain important mouse colonies, assist with
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. Maintain and update specialist knowledge by critically appraising relevant literature in urban resilience, infrastructure systems, or data-driven modeling. Actively participate within the research group
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Scholarships are available for Masters students in the field of quantitative marine science, particularly stock assessment modelling or ecosystem modelling. We encourage you to apply if you have a major or minor
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of agricultural water analyses, including evapotranspiration and crop water use estimation, Familiarity with techniques for modeling crop-related processes and/or crop growth models, Familiarity with machine
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related to our prevention and care goals. The individual will contribute critically to LAH’s ambitious and innovative research and implementation agenda that will transform complex data into meaningful and