283 data "https:" "https:" "https:" "https:" "UNIV" "Univ" Fellowship positions in Australia
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Engineering Research Council of Canada, and the Social Sciences and Humanities Research Council of Canada. For information about eligibility and selection criteria and application open and closing dates, see
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team shaping national policy As Research Fellow, turn big data into real-world impact The Opportunity The National Addiction and Mental Health Surveillance Unit (NAMHSU) is leading a Medical Research
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets
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Status: Open for applications The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners
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of all.” The incumbent will be highly experienced in NHMRC research projects and specifically be experienced with large healthcare data sets and possess advanced skills in intensive care research Your key
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excellence in field-based hydrodynamics, water quality, groundwater, and meteorological monitoring, supported by significant specialist equipment and boat-based data collection. The School of Civil Engineering
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helps companies, governments, and not-for-profits transform the sectors they operate within, for public good. Our research focuses on areas including: Health and social care Sustainability Data and
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-controlled analytical methods, and conduct targeted, suspect, and non-target analyses. This includes performing MS/MS experiments, interpreting high-resolution mass spectrometric data, and undertaking
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of large-scale, nationally representative education surveys using Qualtrics, ensuring methodological rigour and high-quality data collection. Initiate, design and conduct quantitative research using advanced