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specific expertise in analytical software such as TreeAge and STATA or R. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground
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stakeholders to understand real-world problems and applying research techniques to develop solutions Working with a team of software engineers, multidisciplinary researchers and external stakeholders Contribute
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. Proficiency in using analytical software will be highly regarded. The role requires face to face data collection. Visa sponsorship is not available for this position. This role requires current valid work
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer science
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demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn
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, while the production of open source software is critical to ensure that project outcomes are translated to industry practice. Candidates with skills aligned to the project, will be highly competitive and
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. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI
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working with refugee and asylum seeker populations. Strong skills in statistical analysis, manuscript preparation and the use of software such as SPSS, Stata, R or Python are also essential. This is a rare
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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines