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, enabling a more stable and efficacious drug delivery over conventionally dosed medicine. This work integrates high data-density reaction/bioanalysis techniques, laboratory automation & robotics and machine
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First Stage Researcher (R1) Country United Kingdom Application Deadline 9 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 5 Is the job funded through the EU Research
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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and renewable energy systems safer, more efficient and more powerful. You will work on creating multilayer ceramic coatings made from aluminium nitride (AlN) and boron nitride (BN). These high-tech
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, more efficient and more powerful. You will work on creating multilayer ceramic coatings made from aluminium nitride (AlN) and boron nitride (BN). These high-tech materials will be designed for two game
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3-year PhD studentship: Scaling-Up Functional 3D Printing of Devices and Structures Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD
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4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Overview Glycosaminoglycans (GAGs
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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emissions. As a carbon-free fuel, it holds great promise for decarbonising energy-intensive sectors such as power generation and shipping. However, its practical use in combustion systems remains limited by
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leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ. Ultimately, this work bridges the gap between the theory