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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
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disciplines some of these are as follows: Advanced Programming in C# Data Structures and Algorithms in Java Databases using SQL Advanced Databases and Big Data using Python Web Design Programming using ASP .Net
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disciplines some of these are as follows: Advanced Programming in C# Data Structures and Algorithms in Java Databases using SQL Advanced Databases and Big Data using Python Web Design Programming using ASP .Net
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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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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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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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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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-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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prediction tasks. Knowledge of a wide range of statistical tools and clustering / prediction algorithms is required. Experience of using foundation models and generative AI would be an advantage. Specific
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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