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Field
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Responsibilities Teaching as needed, particularly in the area of "Cryptology & Privacy" Scientific research in the field of symmetric cryptography Developing new methods for the design, cryptanalysis, and formal
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quality of lower-fidelity CFD methods. After that, the lower-fidelity simulations will be repeated including the combustion of classical hydrocarbons (methane) and hydrogen. The resulting numerical datasets
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looking for curious, enthusiastic and hard-working candidates with the following expertise: -- an understanding of concepts in fluid mechanics, and analytical and numerical methods to solve partial
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sustainability assessment to develop next-generation tools and methods that inform decision-making and support the development of safe and sustainable products and policies. This PhD position is embedded in
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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on the candidate’s skills and interests, but may include genetically engineering microbes to change form and function, developing theory and AI methods that advance our ability to design reliable, engineered
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how fluid dynamics can be simulated on quantum computers by designing novel quantum algorithms, implementing software, and evaluating their performance on quantum computer simulators and potentially
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-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will develop algorithms for segmentation
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methods to model the flow-on impacts of different hospital initiatives from ED presentation through to hospital discharge, and subsequent impacts on patient and health system outcomes. By modelling patient
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democratic legitimacy? Together, the projects will develop comparative evidence, practical methods and guidance for adaptive regulation. A shared observatory will bring together signals, research methods and