29 proof-checking-postdoc-computer-science-logic Fellowship research jobs at Monash University
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and oral communication skills, including drafting of academic papers and grants High level computer skills with software skills such as Microsoft Office, SAS, SPSS If this sounds like you, we highly
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computer skills with experience using Microsoft Word, Excel and PowerPoint; and specific experience in working with a range of data management/analytical software. Prior experience, knowledge and expertise
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University's Department of Economics is seeking a Research Fellow to join the project titled “Women in STEM: The Longer-Term Effects of Teachers.” This research initiative aims to understand how teacher
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of Chemistry at Monash University is seeking a highly motivated Postdoctoral Research Fellow to advance encapsulation technologies through emulsion and microemulsion formation. This role offers the opportunity
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them The Opportunity The Department of Software Systems and Cybersecurity (SSC) is a world leader in cybersecurity research. As technology becomes more deeply integrated into our everyday lives
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of Chemistry is looking for a Post Doctoral Research Fellow to join in an exciting project Parameterisation of voltammetry in a machine learning environment. The project involves working with a multidisciplinary
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meetings and organisational activities to support the broader goals of the research program. We are seeking someone with a completion or close to completion of a doctoral qualification in transport modelling
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independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
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-reviewed publications, conferences, and collaborative meetings with colleagues. This is a unique opportunity to contribute to a high-impact project that blends technology with healthcare to support the well
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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised