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research environment through collaboration with colleagues and the supervision and mentoring of research assistants and students. The role provides an opportunity to apply advanced statistical methods
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funding, apply rigorous quantitative and qualitative methods, and translate evidence to inform policy and practice. Teaching: Develop and deliver undergraduate and postgraduate teaching across different
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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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, and collaborative development experience with artificial intelligence or machine-learning tools and methods, particularly their application to mathematical research or software development. This may
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marketing of social media and AI, co-designing, evaluating using mixed method studies and implementing evidence-based solutions to address this public health issue. The role will support Dr Brooke Nickel and
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of innovative statistical methods for analysing large-scale genomic and single-cell omics datasets, identifying causal genetic variation, and improving phenotype prediction and gene prioritisation across
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industry partners. This role offers the opportunity to lead elements of complex research programs, publish high-quality outcomes, support research funding applications, and mentor emerging researchers. Drive
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or numerical methods, interpret results, and contribute to the preparation of publications and research presentations. Demonstrated ability to work independently while contributing effectively within a
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methods, including venipuncture and blood analysis, to support rigorous, high-quality and innovative research. Contribute to the research culture and strategic priorities of the Heat and Health Research
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experience with relevant instrumentation, computational methods, or modelling tools specific to your subfield. About Monash University At Monash , work feels different. There’s a sense of belonging, from