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engineering stimulated by recent developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with
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studying as an international student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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collaboration with KU Leuven and Maastricht University, we train over 900 students to become creative and problem‑solving legal professionals. We do this through assignment‑ and problem‑based learning and always
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closed‑loop carbon platform suitable for large‑scale deployment. Person Specification Motivation, creativity, and resourcefulness A mature approach to learning Candidates should have been awarded
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. We are seeking a candidate motivated to explore the how emerging technologies – such as machine learning, generative AI, and extended reality (XR) – impact societal preparedness planning required
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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas
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intelligence, or related areas Experience with large language models, machine learning systems, software testing, program analysis, requirements analysis, or software quality assurance Strong programming skills
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to learn, analytical thinking and critical problem solving skills; desirable competences excellent knowledge of organic chemistry and organometallic chemistry, data analysis and interpretation, especially in
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, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with
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learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 60 nationalities represented in our workforce · Diverse