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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Join an exciting
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modelling, machine learning, growth mixture modelling). Excellent skills in statistics and advanced quantitative data analysis, including strong skills in command driven programming languages (e.g., STATA, R
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committed to an equality charter (see https://www.hw.ac.uk/about/our-schools/mathematical-and-computer-sciences/about-us/our-equality-charter ), which includes having a diverse and inclusive workforce, and
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The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
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your field. You will have a strong track record of research in actuarial data science - which may also include machine learning, financial risk and climate change risk - as demonstrated through
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other large scale machines (e.g. hydro-electric power stations, ships propeller bearing) sliding type or ‘hydrodynamic’ bearings [4] are much more common. There is increasing interest from industry
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climate will warm and recover in a net-zero future. As part of this project, you will apply machine learning (ML) methods to discover reduced-order models from data and develop GenAI-based techniques
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C. Yin, P. Xiao, V. Sharma, Z. Chu, Garcia-Palacios, Machine Learning Based Physical Layer Security for Detecting Active Eavesdropping Attacks, IEEE Commun. Lett., 1-5, 2025. Bowman, T., Georgalas
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of Mental Health & Psychological Sciences, and our NHS and industry partners. We particularly welcome candidates whose expertise complements existing departmental strengths in machine learning, multimodal
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning