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the groups of Dr Karam Teixeira and Professor Richard Durbin (https://www.gen.cam.ac.uk/research-groups/research-groups/durbin ) and focuses on dissecting how transposable elements shape the evolution
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? Join our innovative project where simulated data and real hardware testing create innovative solutions. The work builds on our recent results . You will be at the forefront of developing advanced
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. The participant may also have the opportunity to be involved with the development of novel algorithms, bioinformatic tools or analytical pipelines that quantify the diversity of RNA viruses that may be deployed in
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to facilitate perceptual learning of different stimulation patterns; and (iii) the development of advanced AI algorithms capable of converting camera input into real-time electrical stimulation parameters. In
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium-seeking algorithms in transportation
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systems, with a focus on 3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation
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. This project will develop new AI algorithms and apply these methods to the agriculture sector in Ireland, focusing on dairy farming. Dairy farming is a very energy intensive form of farming. In order to
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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of estimation algorithms, use of observers, etc.). • Development of a control architecture integrating data from the localization system. • Experimental validation of the developed system. ADDITIONAL INFORMATIONS