34 assistant-professor-computer-science-data Fellowship positions at Monash University
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multidisciplinary in nature, cutting across statistics, econometrics, operations research and data science. Specific project outcomes relate to multiobjective optimisation, expected shortfall and conformal inference
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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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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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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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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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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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, to conducting interviews and focus groups with victim-survivors and service providers, and supporting the analysis of qualitative and quantitative data. You’ll also help produce reports and knowledge-sharing
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Professor Gamble in key research initiatives. Responsibilities include ethics applications, conducting literature reviews, recruiting participants, preparing grant submissions, performing data analysis, and
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the people who discover them The Opportunity This Research Fellow position sits within a Wellcome-funded initiative focused on evaluating animal models in mental health science and developing a publicly
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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