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Scientia Professor, the Post-Doctoral Fellow will undertake advanced data management and statistical analysis of large, complex linked datasets, contribute to rigorous study design, and ensure high standards
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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team
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on health. Your key responsibilities will be to: apply a comprehensive understanding of epidemiological methods and principals to the teams work program lead cohort studies across large and complex health
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large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be
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working on clinical trials, as well as contributing to the development of data-driven interventions and stewardship models to enhance patient outcomes after surgery. This position is an opportunity to work
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. The successful candidate will join Patrick Burr’s diverse and multicultural research group and collaborate with the HB-11 Energy research team, also located in Sydney. For more information on the research group
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developed by extending the existing platform through adoption or development of new components. Phase 2: Using big data insights to optimise the manufacturing process The second phase of this project will
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: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
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+ Leave Loading Location: UNSW Kensington Campus About UNSW: UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community, a community doing
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statistical genetics techniques to analyse large-scale single-cell and genomic data. Data Analysis: Process, analyse, and interpret high-throughput single-cell and genomic data to derive biologically meaningful