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Field
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this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training
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systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry connections will provide
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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group (https://theochem.univie.ac.at/ ) at the Institute of Theoretical Chemistry aims at understanding chemical phenomena using contemporary computational and theoretical methods. We employ and extend ab
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of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of ELLIS Institute Finland and the Finnish Center for Artificial Intelligence . His research group develops
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms & validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed tomography
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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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gene gain/loss events, horizontal gene transfer, and functional diversification within gene families. You will apply statistical models and machine learning algorithms to identify associations between
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) for Wi-Fi. You will join the team of Dr Junqing Zhang in the School of Computer Science and Informatics at the University of Liverpool. The project will focus on innovative and practical radio frequency