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Field
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. This motivates the paradigm of sublinear time algorithms: algorithms that are capable to doing meaningful computation by examining only a minuscule fraction of their inputs. This project will focus on carrying out
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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include but are not limited to: network architecture design for NTN and terrestrial network (TN) convergence, intelligent traffic steering algorithms between TN and NTN, orchestration of TN/NTN resources
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the seismic data. The applicant will undertake all the necessary research and development of algorithms using modern machine learning libraries (mainly pytorch) and over the course of the project duration
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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animal interactions with marine energy devices. This work will involve independent design, research into sensing and instrumentation, test and validation, system integration, data processing and algorithm
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optimisation algorithms to dynamically reconfigure the substation/distribution network settings to enhance the system efficiency. The optimisation algorithms will incorporate the uncertainties associated with
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. This is part of an EPSRC-funded project on Algorithmic Comparison of Stochastic Systems. The post holder will work closely with the Principal Investigator, Stefan Kiefer, but also with other members of a
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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skulls to MRI/CT head scans. The research associate will develop anthropomorphic head phantoms and algorithms for fast and accurate multi-modal image registration, based on state-of-the-art machine