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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role
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improve their financial outcomes. The projects would be developed and completed in collaboration with CBA. Primary methods would include analysis of large-sample behavioral data, surveys, and lab and field
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Responsibilities: • Assist the Principal Investigator (PI) in managing and executing the research project. • Conduct literature reviews, data handling, and analysis using various research methodologies
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names and contact information for two referees. One of the referees should be the main advisor for the master's thesis or equivalent thesis. CV transcripts and diplomas showing completion
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training, conferences, and meetings. Mentorship in ocean simulations, submesoscale dynamics, and data analysis will be provided. About you You must hold a PhD (or equivalent experience) in a relevant field
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closely with the Principal Investigator (PI) and research team to ensure all project deliverables are met Prepare research ethics / data impact assessment applications and study protocols Carry out Evidence
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new techniques within the laboratory, help supervise project/undergraduate students, and present their data regularly at internal lab meetings and external conferences. Applicants should be proficient
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holder will play a key role in supporting quantitative data analysis, including the development of statistical analysis plans, and interpretation in a cluster trial setting. There are also opportunities
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised