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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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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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Intelligence (AI) and development of Machine Learning (ML) models and Federated Learning. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent
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& Experience Knowledge/Qualifications Essential: A1 SCQF Level 10 (Honours degree) in a relevant subject or a cognate discipline, or equivalent A2 Specialist theoretical and practical knowledge of AI and machine
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development of Machine Learning (ML) models and Digital Twins. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent standing as assigned by
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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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associated rock and mineral sample preparation. Additional duties include the planning, design, and operation of specialist technical resources to acquire data, optimise research output, and enhance
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Engineering (e.g. in Microelectronics, Power Engineering, Engineering Design, Digital Design, Embedded Systems, Communications, Machine Learning and Artificial Intelligence, and other relevant fields). We
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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
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conferences. PhD: 3 years full-time; 5 years part-time; Thesis of 70,000-100,000 words MLitt (Research): 2 years full-time; 3 years part-time; Thesis of 40,000-70,000 words MPhil (Research): 1 year full-time; 2