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qualifications in related fields (e.g., neuroscience) experience in quantitative methods relevant to immune science experience in clinical research with strong data analytic skills with an interest in training in
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manage research datasets, including development of analytic workflows, REDCap data collection tools, algorithm development, and validation of NLP pipelines · lead the development of scholarly outputs
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, including data analysis (e.g., interrupted time series, linked healthcare data, PBS datasets), survey design and implementation, and mixed‑methods approaches · experience conducting systematic reviews
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structures, geometric/higher representation theory) Category theory (especially monoidal/tensor categories; diagrammatic or categorified settings welcome) Combinatorial / analytic methods for algebraic
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the intervention) lead and support data collection, analysis and manuscript preparation manage the research budget collaborate with clinical and research team members present research findings through publications
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implementation of bait-capture–based targeted clinical metagenomics, applying cutting-edge sequencing and analytical pipelines to enable rapid, precise pathogen identification and antimicrobial resistance
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of Sydney, Your key responsibilities will be to: Analytical, organised, and collaborative person with expert knowledge related to the subject matter of the Working Group. Disseminate research findings through
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that investigate regenerative design and technology in the built environment, including developing indoor environmental quality (IEQ) assessments, undertaking analysis of multidisciplinary data, and applying
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recipients and adults aged over 65 · lead and contribute to the development of study protocols, ethics applications, data collection methodologies, and statistical analysis plans for clinical
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, RedCAP building and record maintenance for secure data entry, and the Clinical trial management system (CTMS). patient data management in accordance with IHC-GCP requirements, the candidate must