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critical support to a dynamic research team. In this pivotal role, you will enhance and facilitate scientific research projects, programs, and initiatives by offering your expertise in statistical analysis
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limited to): Tutoring Marking Teaching Support Background Applicants should possess a strong academic background in Maths or Statistics and would normally be achieving a GPA of at least 5.5 and have
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, and marine spatial planning tools, and proficient in Python and R. Experience with multivariate statistics, modelling methods, Bayesian hierarchical models, spatial models, and time-series analyses is
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development of joint research projects. Research in the broad field of statistical genomics, including analysis of data generated by the Program, by collaborators or in the public domain, method development and
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methods. Relevant experience in extracting and summarizing data from literature, conducting statistical analysis, and quickly applying this knowledge in the workplace. In addition, the following mandatory