52 proof-checking-postdoc-computer-science-logic PhD scholarships at University of Nottingham
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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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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PhD project: 3D-Printing Devices with Responsive Structural Colour Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre for Additive
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About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham to work under the supervision of Dr David Duncan. The project
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mapping of sites and X-ray Computed Tomography of soil samples. Full training will be given for all aspects of the work and strict health and safety protocols will be followed at all times. Keyword Search
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the Faculty of Engineering at the University of Nottingham, subject to funding approval. Driven by the need to reach net-zero greenhouse gas emissions in the UK by 2050 and rising energy costs, the UK building
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engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype development would be
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suit someone with a desire to explore the biochemical composition and biological activity of GAGs. A good grounding in biochemistry/biology/chemistry/biophysics is essential and you will need to be
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for understanding natural magmatic processes on earth & other planetary bodies. Neutron diffraction is a powerful technique for studying the atomic scale structure of these materials, but the current technology to
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms