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computational expertise in mathematics, statistics and computing with applications in materials science, quantum physics, signal processing, astronomy and health. EECMS contains several major research centres and
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high-level competence in using statistical analysis software. Demonstrated experience or desire to participate in supervision of HDR students. A history of successful competitive grant applications
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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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Job Reference: 1163141 About The Role: An exciting opportunity is available for a Level A and/or Level B academic with strong econometrics, data science, analytical, and statistical modelling skills
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. Conduct statistical analyses of trials' results and provide guidance on appropriate statistical methods and tools to assess the impact of equity-focused interventions. Identify and mitigate potential risks
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Academic Lead (NCSEHE) you will need to extensively analyse the intervention outcomes, conduct statistical analysis and report on project trends and data to measure the overall success of the project
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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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regarded. Experience with data warehousing, integration, and management of large datasets. Strong foundation in computer science, mathematics, and statistics. Knowledge of data engineering tools and