481 distributed-algorithm-"Newcastle-University"-"Newcastle-University" Fellowship positions
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- KINGS COLLEGE LONDON
- Koziarski Lab - The Hospital for Sick Children
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& Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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only within dense, highly interacting systems, inaccessible to standard techniques. To probe such regimes requires the development of fast and scalable algorithms for many-component systems, and of
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Wearables & Healthcare Systems Theme 3 Algorithms for Privacy, Security and Provenance Theme 4 Clinical Innovation & Translation Connected medical devices are increasingly employed in the drive towards
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Wearables & Healthcare Systems Theme 3 Algorithms for Privacy, Security and Provenance Theme 4 Clinical Innovation & Translation Connected medical devices are increasingly employed in the drive towards
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philosophical research into the nature of mathematical understanding, including, depending on their interests, conducting psychological experiments, developing novel mathematics, inventing new algorithms, and
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
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resource utilization, leading to performance losses and excessive energy consumption. The problem is exacerbated in distributed environments, where hundreds or thousands of GPUs operate suboptimally