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key part in advancing translational research, with a strong emphasis on assessing brain exposure in vivo using quantitative analytical approaches. Key responsibilities include: Designing and conducting
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, Excel and PowerPoint, and familiarity with analytical software such as NVivo and/or Multicriteria Mapping. About Monash University At Monash , work feels different. There’s a sense of belonging, from
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leading clinicians and researchers tackling real‑world challenges in critical care, data innovation, AI and advanced analytics. We are seeking a talented Data Scientist / Clinical Data Engineer
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will have: A PhD (or equivalent experience) in medicinal or synthetic chemistry Strong hands‑on laboratory experience in synthetic organic or medicinal chemistry Excellent analytical, organisational, and
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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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discipline. You will demonstrate: A strong track record of refereed research publications and manuscript preparation Analytical capability and the ability to solve complex scientific problems Experience in
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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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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
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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