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the ability to develop novel theory. They must also have strong development skills, to enable them to lead the process of prototyping new interactive systems with sensors, build machine learning
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qualifications and experience equivalent to PhD level plus the requisite experience. A2 Specialist theoretical and practical knowledge of Machine Learning and charged particle tracking. Desirable: B1 An up-to-date
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the requisite experience. Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject specialism or equivalent. B2 Experience with high dimensional statistical, machine learning and deep
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, physical layer design, machine learning, and their applications to wireless communications. The successful candidate will also contribute to the formulation and submission of high-quality research
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PhD programmes are offered in Economics, Finance and Quantitative Finance. PhD: normally 3 years full-time; 5 years part-time; Apply now Overview Overview As an Economics PhD student, you will have
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, development, and maintenance of research software solutions to accelerate research and outcomes within TransiT. The RSE will allocate a portion of time to training and mentoring the large PhD/Postdoctoral
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protein expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we will identify conserved expression profiles
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variety of CAI’s across all chondritic meteorites, machine learning analytics will be employed on a range of microscopy data sets, both archival and freshly acquired. Starting from optical micrographs a
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expression across tissues and developmental stages, quantifying correlations between transcript and protein levels. Using machine learning, we will identify conserved expression profiles that predict lifespan
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to recognise the shape, size, and materials of urban features, through the application of statistical, machine learning (ML) and artificial intelligence (AI) techniques. The use of freely accessible raw GNSS