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Generative AI model which will predict the fertility stages of species based on analytical information from blood (or body fluid) samples. The successful candidate will work closely with the project Chief
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data engineering, analytics, or machine‑learning projects, particularly those involving clinical or EMR data, prepared you for building automated pipelines, dashboards, and decision‑support tools in a
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expertise in membrane protein biochemistry and cryo-electron microscopy Experience supervising or mentoring research staff and postgraduate students High-level organisational, analytical and problem-solving
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: • Experience undertaking data analysis in R, STATA or SAS • Skills in economic evaluation, epidemiological analysis or health services research • Analytical and manuscript preparation capability with early
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projects. Candidates will need strong analytical skills and experience in manuscript preparation. Well-developed research skills, including data collection, management and analysis, along with the ability
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research experience. You bring strong analytical and problem-solving skills, a developing publication record, and the ability to manage multiple research priorities effectively. You enjoy working
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culture and differentiation • Experience in biomaterials, muscle biology and advanced microscopy • A strong publication record and analytical capability • Excellent organisational and communication skills
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or structural biology Strong analytical and problem-solving skills Excellent written and verbal communication skills Demonstrated ability to maintain detailed laboratory notebooks and well-organised research
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qualitative research and familiarity with analytical software (e.g., SPSS, Qualtrics,NVivo, RevMan) Experience working with participants with neurological conditions will be highly regarded. About Monash
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across academia and industry. This position forms part of a major national program in Australian green ironmaking and will utilise Monash’s world-class analytical capabilities and pilot-scale facilities