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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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PhD in the EnerHy CDT which is an EPSRC-funded Centre for Doctoral Training (CDT) focusing on research and training in the areas of Renewable Energy and Hydrogen. The University of Strathclyde leads
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mentor PhD students and junior researchers working on the project; assist with administrative responsibilities related to the project, including the organization of workshops, writing deliverables, data
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. psychology, sociology, education and allied health professions. Training and/or experience in the collection and analysis of qualitative data You should have a strong understanding of education, demonstrated
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in conducting empirical research (e.g., experimental design, stimuli selection, recruitment, data collection, data analysis, report writing). Hands-on experience with experimental software (e.g
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-PhD-04-25 AI-Driven Multimodal Non-Contact Sensing for Human Gait Modelling and Analysis - Eng-PhD-02-25 "Synthetic Data Generation and Physics-Informed Learning for Chemical Engineering Applications
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PhD in the EnerHy CDT which is an EPSRC-funded Centre for Doctoral Training (CDT) focusing on research and training in the areas of Renewable Energy and Hydrogen. The University of Strathclyde leads
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publications and advanced expertise in computational social science, AI-assisted research design, large-scale content analysis, and quantitative and qualitative data integration. Technical proficiency should
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the electron microscopy method development. This will involve analysis of their electron ptychographic or 4D STEM data sets collected on biological specimens provided by collaborators. As a Research Associate at
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calibration and artefact mitigation. · Develop and maintain reconstruction and data-processing pipelines using Python programming tools. · Implement quantitative 3D analysis workflows such as