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and temporal resolution environmental exposure models experience processing environmental data with high spatial and temporal resolution to assign localised exposure, either by statistical area or
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term, appointment to commence as soon as possible. The specific topic area of this post is relating to the development of optical coherence tomography (OCT) and fibre-based optical imaging technologies
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or controlled environments, and an understanding of grain processing and grain quality. Familiarity with the Narrabri region of northern NSW would be an advantage as the appointee will be expected to conduct
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
. The project is aimed to improve our in-house developed process-based computer model and use it to represent the soil ecohydrological and biogeochemical interactions across various carbon and nitrogen soil pools
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”. This project aims to quantify the effects of large-scale infrastructure on fish connectivity and populations by advancing our understanding of critical ecological processes within these modified coastal
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• Discounted health insurance through Medibank • Onsite vacation care • Employee Assistance Program (EAP) • Subsidised membership at the Sport & Aquatic Centre • Onsite GP, imaging, and physio clinics How
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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of large-scale infrastructure on fish connectivity and populations by advancing our understanding of critical ecological processes within these modified coastal seascapes. The project expects to generate new
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into the study, Using online platforms (especially REDCap) to assist in the recruitment process for recruiting patients into the study, Entering data into the trial spreadsheet using Excel, Undertake data cleaning
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, thermochronology, tectonics, geodynamics, surface processes, relational database design, and geological data science. experience using GPlates, Underworld, Badlands, goSPL, Pecube, GLIDE, Age2Exhumation, and/or