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Field
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goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating, for example, the location and spectral
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context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
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new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic developments such as using unsupervised and self-supervised
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possibility of extension. Flexible and hybrid working patterns will be considered. The AI Hub: The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and
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networks Implementation of algorithms via computer simulation Experience with programming in Python, C/C++ or another language Knowledge Knowledge of Optimization methods, signal/image processing techniques
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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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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modalities, including imaging, text, social and clinical data. The postholder will design and develop new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder
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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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clinical data. The postholder will design and develop new algorithms and associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic