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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions
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The Australian Institute for Machine Learning (AIML) offers new PhD scholarship opportunities in Industrial AI. These full-time scholarships support students undertaking their PhDs in AI and machine
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methods for provable network security. The School of Computer and Mathematical Sciences is recruiting a research fellow to work on next generation network security technologies. Join a world-class research
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foliation. You will also be involved in creating new techniques and software tools to perform near real time resource estimation and derive performance analytics on the physical resource costs associated
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. Teaching: Whilst no formal teaching commitment is required in this role, the Research Fellow will have the opportunity to contribute to the development and delivery of teaching materials and training modules
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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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What you'll receive You'll receive a stipend of $32,192 per annum for a maximum duration of three and a half years while undertaking a QUT PhD. The duration includes an extension of up to six months
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proficiency in both qualitative and quantitative research methods. Experience in data management and statistical analysis software such as Excel, STATA or R, along with qualitative analysis tools such as NVivo
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. Collaborative team player, comfortable working with PhDs, researchers, and programmers Expertise in ocean salinity (and its relation to the Earth’s water cycle), and coupled climate modelling Full-time, 4.5-year
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. Collaborative team player, comfortable working with PhDs, researchers, and programmers Expertise in large scale Southern Ocean circulation and coupled ocean-atmosphere modelling Full-time, 4.5-year fixed-term