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Field
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algorithmic graph theory. The purpose of the role is to contribute to the project "Algorithmic meta-classifications for graph containment", working with Professor Matthew Johnson, Dr Barnaby Martin and
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
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and Open RAN systems Hardware and/or software implementation of digital signal processing algorithms in actual, real-time systems How to apply Please apply on the University website with your CV and a
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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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The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
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Fluid-Structure Interaction to focus on developing computational algorithms for fluid-structure interaction problems including the multiphysics effect of electromagnetism. The Role: As a Research Fellow
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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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extremism; increased reliance on technological and algorithmic governance; the collapse of global financial institutions; the impotence of global development policies; persistent gender-based violence
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STFC - The Science and Technology Facilities Council; | Harwell, England | United Kingdom | 14 days ago
quantum systems Optimisation of Quantum programming languages Hybrid Quantum/Classical algorithms Quantum Emulation on our in-house HPC cluster Extension points to integrate with 3rd party tools and web
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; application of in-house machine learning algorithms to identify optimal linker activity and selectivity; synthesis and characterisation of linker candidates; and proof of concept studies to demonstrate