39 postdoctoral-image-processing-in-computer-science Fellowship positions at Monash University in Australia
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of Civil & Environmental Engineering is seeking an exceptional early-career researcher to join a nationally significant ARC Discovery Project exploring the sustainable size of cities and the transformative
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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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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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delivery of clinical research that directly impacts real-world care. This role is ideally suited to an early career researcher or health sciences graduate with experience in clinical data collection and
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processes, our work leverages big data and systems biology approaches to uncover novel insights into human health and performance. This role offers an exciting opportunity to grow your research profile while
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independent and collaborative research, developing expertise that enhances decision-making frameworks and optimises reconciliation processes in real-world business settings. The project will be
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linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process
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design coordination, addressing inefficiencies that arise when diverse expertise (e.g. structural and mechanical engineering) intersects during the design process. This role involves developing
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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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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