31 proof-checking-postdoc-computer-science-logic Fellowship research jobs at Monash University
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Computer Science, Computational Chemistry, bioinformatics) and have extensive experience in academia or industry with a focus in computational drug discovery. Prior experience working with GPCRs would be
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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