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stakeholders Using large databases to process, extract and analyse data, and advanced skills in Microsoft Office applications Ability to work collaboratively and productively within a team, but also to take
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linked to the microbiome, metabolites and diet. This will include working with large datasets (e.g. proteomics, metabolomics and metagenomics) collected from a pregnancy-birth cohort of children at-risk of
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assurance, management accounting, and/or digital transformation in accounting (use of AI and big data analytics for decision-making). Show evidence of an ability to guide the direction and supervision
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, Machine Learning, and Big Data Analysis To Apply We encourage all candidates who meet the selection criteria to apply for this role. Please submit: A current CV A cover letter specifying whether you are
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to uncover biological structure and variation in the data and establish robust analytical workflows. This work will shape future large-scale studies generated by OMIX3. The ideal candidate will have strong R
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, healthier, and more supportive work environment for all. About You To be suitable for this role you will need to have extensive experience and demonstrated ability in a medium to large sized organisation, in
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planning, interpretation, implementation and reporting of workplace health and safety policies, procedures and systems, and the management of regulatory compliance within a large, complex organisation
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, interpretation, implementation and reporting of workplace health and safety policies, procedures and systems, and the management of regulatory compliance within a large, complex organisation, preferably within
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, data analysis and other digital research tools. The Centre enhances the University’s eResearch infrastructure and provides support for interdisciplinary research and education. The Centre interacts with
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. Application of artificial intelligence/machine learning to the big data from genetics and omics is well recognized in healthcare, however, its application to the data reported everyday as part of the clinical