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University is recognised for its world-class research, knowledge exchange and educational programmes. At the heart of this is the Faculty of Engineering, which boasts a growing research portfolio of nearly
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
submit your own proposal or can select and develop a project proposed by a potential supervisor. The following proposal ideas have been suggested by supervisors actively seeking PhD students; if you are
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medicinal chemistry and the desire to learn molecular biology assay techniques. Industrial experience would be advantageous. Please note that this is a 4-year Graduate Teaching Assistant (GTA) studentship
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navigation sources and signals of opportunity in GNSS-degraded or denied environments. Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in
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develop a clear and reliable spectroscopic method for detecting and quantifying minimally resolved key biomarkers across various separation media, with the aim of eventual integration into a point-of-care
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dynamically combine trusted and opportunistic signals. This project aims to develop versatile benchmarks for assured multi-domain PNT systems with advanced integrity frameworks, enabling rigorous evaluation and
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which intranasal oxytocin affects brain function. Demonstrators are expected to spend 144 hours per annum on education activities as Graduate Teaching Assistants (GTAs) (e.g., leading seminars and
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Multi-Omics Tools Requirements: Applicants should have a first or upper second-class honours degree from a Higher Education Institution in the UK or acceptable equivalent qualification. International/EU
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to vibrations causing communication system to ‘lose their locking’ and prevent such a system from functioning properly. The flight ECT development is a fantastic testbed to develop these technologies
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural