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learn how to write proposals for beam time). Person specification: The candidates should have at least a 2:1 degree in Chemistry, Physics, Engineering, or related discipline. Ability to work in an
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with age or is linked to particular medical conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View
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was in physics, materials, engineering or a related discipline. Funding Notes Home tuition fees and a stipend at the standard URKI rate (£19,237 tax-free pa in the 24-25 academic year) will be provided
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; these are machine learning models trained to predict the output of the physical system but can be differentiated for training. This project will develop the use of machine learning methods, particularly neural
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July 2024 Details Project description This PhD project will use two secondary datasets and a series of experiments to explore how teams led by white women and ethnic minorities manage status related
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concretely it aims to uncover: How does technology impact upon the labour process in relation to; skill utilisation; autonomy and discretion; surveillance and monitoring; working time and performance
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factors, skin barrier restoration and use of harsh immunosuppressants. Understanding the pathophysiology of AD is crucial for the development of more effective new treatments. Research suggests that AD is
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Efficient In Silico Trials for Bone Diseases Department of Mechanical Engineering PhD Research Project Directly Funded Students Worldwide Dr P Bhattacharya Application Deadline: 28 June 2024 Details
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, or Masters degree (with Merit or Distinction), in a related field such as (but not limited to) Engineering, Architecture, or Physical Sciences. Experience of practical engineering design, particularly
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-Tavani Application Deadline: 10 July 2024 Details Project description The research project aims to explore the complex process of transformative value creation within service ecosystems. Through