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been officially awarded their PhD will be appointed as a Research Assistant within the salary range £43,003 - £46,297 per annum Experience in computer programming (in particular Python), is essential
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to carry out Human Activity monitoring at scale in complex environments. This project aims to combine mmWave RF Sensing, enhanced using Reconfigurable Intelligent Surfaces (aka IRC) and machine learning
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the Cardiac Electro-Mechanics Research Group (CEMRG) at Imperial College London which applies statistical, machine learning and simulation approaches to combine experimental and clinical data with physics and
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, including exploitation of machine learning based algorithms related to tracking and vertex finding. This will include simulations as well as integration of algorithms into electronics hardware and testing in
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WCRF-funded initiative, the Data Automation Project, our team is collaborating with a team of machine learning (ML) experts at the University of Bristol, to design and implement AI-based tools to semi
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organisms as models for the design and engineering of materials and machines. Environment: The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as
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modelling, graph theory, probability calculus, optimal transport, optimization and feedback control, machine learning, and a knowledge of distributed ledger technologies. A track record of publication in
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, distributed systems, algorithm design, cryptography, machine learning), with a keen understanding of privacy and data ethics. The candidate should have hands-on experience in programming and optimizing
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discipline. Research interests that will contribute to the strategy of the department. Relevant underpinning topics include: Automation, Design, Dynamics, Fluid Mechanics, Machine Learning (applied
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. The candidate should have a PhD and research experience in machine learning, bioinformatics and/or cancer research. Additional experience in software product development is desirable but not compulsory