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. This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable
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the presence of significant confounding factors Organise large-scale sequence data sets Communicate results at project meetings and conferences Present research outputs, including drafting academic publications
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essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential
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models, including large vision models Record of scientific initiative and creativity in research or development activities Capable of independently designing and executing experiments, interpreting data
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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role
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week) The role reports to Scientia Senior Lecturer Dr. Felix Rizzuto and has no direct reports. About us UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
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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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models), clinical data science, and large-scale database analysis (e.g., FinnBrain, NeuroBlu, TriNetX). There will be excellent clinical exposure through psychopharmacology services in Oxford, London
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large databases is required. The candidate is expected to partake in design of the epidemiological studies, statistical work (SPSS but also other programs such as R), presentations and preparation