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performance computing and advanced algorithms for numerical simulation at continuum and atomic-scale levels. The successful candidate will provide support and contribute to the atomistic stream and the high
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programming and evolutionary algorithms for scheduling. A high level of motivation and commitment to successfully completing your doctoral studies within the planned timeframe. Cooperative, team-oriented, and
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms
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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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uses, improving the AI and MRI algorithms, and linking them with information from biological studies on tumour tissue. This project harnesses AI to improve diagnosis and clinical decision-making leading
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systems. Software developed for science can change in unpredictable ways, with algorithms invented and reinvented, and SSCC is flexible and able to adapt to changing needs. SSCC’s software and computing
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related to software development and research. Understanding of fundamental data structures and algorithms for designing and implementing efficient software and models. Familiarity with cloud platforms and
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++. Strong analytical and problem-solving skills to identify and resolve issues related to software development and research. Understanding of fundamental data structures and algorithms for designing and
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research active academic staff, around 20 postdoctoral researchers and around 50 postgraduates, with research groups in Algebra; Analysis; Bubble Dynamics; Combinatorics, Probability and Algorithms