569 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Monash University
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Quantum–Classical Algorithms for Scalable Data Systems and Intelligent Analytics Unsupervised Music Emotion Tagging (Affective Computing) Authorised by: Marketing, Faculty of IT , Monash University
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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
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Learning for De Novo Molecular Design from Analytical Spectra Hybrid Quantum–Classical Algorithms for Scalable Data Systems and Intelligent Analytics Unsupervised Music Emotion Tagging (Affective Computing
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groups in the economic analysis of health and health care. We have the highest concentration of economists working in health in the Asia-Pacific region and the largest Health Economics PhD program in
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, you will receive rigorous training in advanced health economics and related studies. The Integrated Program starts with advanced coursework, research training and a minor thesis packaged into a Master
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Associate Professor - International Trade Law, Taxation Law and Technology Law Job No.: 686173 Location: Caulfield campus Employment Type: Full-time Duration: Continuing appointment Remuneration
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I supervise a wide range of PhD projects on experimental research into the electronic properties of novel quantum materials including topological insulators, graphene, and other atomically thin two
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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requirements are available at https://www.monash.edu/engineering/future-students/graduate-research/how-to-apply Your application will be looked upon favourably if you: Graduated in the top 10% of your year level