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“Revealing Order in Organic Semiconductors with Cryo-Electron Microscopy.” The successful candidate will apply and develop advanced cryo-electron diffraction and imaging methods to uncover structure–property
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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://careers.pageuppeople.com/513/cw/en/job/685291/phd-opportunity-indigenous-energy Monash Energy Institute and Faculty of Information Technology invites applications for a fully funded, 3.5-year PhD scholarship
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. You will also supervise Honours, postgraduate, and/or PhD students, fostering a supportive and engaging learning environment. Alongside teaching, you will actively pursue a strong research agenda
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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possible through the philanthropic support of the Narodowski Investment Trust. The following 6 scholarships will be awarded each year: Alex Raydon PhD Scholarship Alex Raydon and Nina Narodowski PhD
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, and online forums, while reviewing usage, costs, and research outputs to drive continuous improvement and innovation. As the successful candidate, you will hold a PhD or relevant Masters/Honours
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I work on a wide range of topics with my local group and in collaboration with members of three large international collaborations. The central focus of my research is to understand how the observed pattern of fundamental particles and forces emerged, using information carried by gravitational...
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, and interpretability of quantum-inspired models against classical machine learning methods. Develop a prototype system integrated with learning management system (LMS) data (e.g., Moodle) to demonstrate