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for their degradation [1]. The project will build on the image analysis software MDSPACE, which produces detailed maps of the conformational states of biomolecular complexes from cryo-EM images [2,3]. MDSPACE will be
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with over 60 companies. The research will focus on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several
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develop novel nanostructured diamond-based materials for advanced PV applications, leveraging the unique properties of the diamond structure. The ultimate goal is to create PV materials capable
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Mathematics, with a strong background in probability theory and complex analysis. Skills in differential geometry are also required. The thesis topics will focus on constructive field theory for conformal field
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approximately 80,000 homes; in Australia, annual costs exceed AUD 982 million. These failures disproportionately affect vulnerable communities and require utilities to make timely, accountable intervention
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scientists. This PhD studentship is the foundational computational element (WP1) proposed for a major 8-year project ("The Self-Driving Microscope”). The project’s goal is to build an autonomous, AI-piloted X
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systems research. Our ambition is to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The trajectories are constructive and
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in the study of Exotic Nuclei, Structure, Astrophysics and Reactions. The group includes around 15 physicists (permanent researchers, post-docs and doctoral students). The evolution of nuclear
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methods that exploit the geographical structure of metapopulation models; you investigate uncertainty-aware policy learning; develop explainable RL methods to communicate learned policies to policymakers
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, purification and reconstitution Targeted mutagenesis and protein structure analysis Biochemical characterization of ATPase and phosphorylation activity Cellular imaging/staining (fluorescence and electron