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data warehousing, integration, and management of large datasets. Strong foundation in computer science, mathematics, and statistics. Knowledge of data engineering tools and techniques, including ETL
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. In this role, you will also assist with preparing annual reports and manuscripts for publication. The successful candidate will have graduate training in epidemiology, psychology, and/or statistics and
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research to build knowledge in the fields of ageing and dementia risk prediction using advanced statistical and machine learning techniques. This position provides you with the opportunity to engage with
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in R statistical software and Python with Numpy, Scikit-learn, and Pandas. Some experience with machine learning pipelines will be helpful. Experience in software deployment with cloud services, e.g
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undergraduate studies; Honours or Masters by research A background or keen interest in ecology, evolution, genetics, statistics, or related discipline. Application process Please contact us via the EOI form
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Eligibility criteria A strong track record in undergraduate studies; Honours or Masters by research A background in ecology, evolution, genetics, statistics, computing, or related discipline. Application
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Eligible courses Any applicable PhD courses Eligibility criteria A strong track record in undergraduate studies; Honours or Masters by research A background in ecology, evolution, statistics, or related
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undergraduate studies; Honours or Masters by research A background in ecology, evolution, statistics, or related discipline. Application process Please contact us via the EOI form . Upload a copy of your academic
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awarded 1 Eligible courses PhD in Economics Eligibility criteria The applicant must have completed a Bachelor degree with First Class Honours in economics, statistics or related disciplines, or be regarded
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courses All applicable HDR courses Eligibility criteria We are seeking a highly motivated candidate willing to learn new skills and undertake statistical analyses using a variety of datasets. People within