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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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. Recent works on knowledge graph question generation [4,5] have mainly focussed on multi-hop questions. This project aims at developing novel methods that jointly address the challenging, dual problem
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use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from stars, active galactic nuclei, warm dust, atomic hydrogen and relativistic electrons. Spectroscopic
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of experiments, analysis of neuropsychological and cognitive data and application of computational models. It also contributes to scientific publications and supports collaboration within a network of researchers
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Allied Health Care. This 12-month opportunity aims to prepare students for entry to the occupational therapy profession through curricula focused on foundational interdisciplinary knowledge for health care
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of coordinating or supporting projects through to completion. Well-developed research, analytical, and problem-solving skills will be key to your success, while knowledge of drug discovery and/or
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to to inform policy, influence clinical practice, contribute to research knowledge and strengthen community-led solutions for new models of cancer and palliative care for First Nations people in Gippsland. As
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the medical, psychological and social factors influencing addiction and the impact of treatments. After successful trials of Cognitive Bias Modification (CBM) for alcohol use disorder, the team has received
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degree in Biological Science or a related field. Experience with cell culture, ideally human iPSCs or hESCs. Sound knowledge of molecular biology techniques and standard lab procedures. Strong
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in program management, administration and stakeholder engagement. Strong organisational abilities, highly developed analytical and conceptual skills, and knowledge of the science, health or medical