71 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" PhD positions at University of Nottingham
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the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning modelling. This exciting project involves the application of innovative
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This studentship is open to UK students only The School of Chemistry at the University of Nottingham welcomes PhD applications in Theoretical and Computational Chemistry. The studentship is fully
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of disasters? Do you have a PhD research proposal related to this topic, or can you develop one this month? If the answer is yes to these questions, then this PhD funding opportunity for the programme of
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the chance to contribute to innovative materials science with real engineering impact for net-zero technologies. Aim This PhD aims to develop a new class of thin-film high-performance ceramic insulation
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planned acts, such as targeted terrorist activities. This exciting project will focus on developing a mathematical model (and a supporting research software) to predict the key performance indicators of a
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Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
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datasets, and large-scale statistical studies comparing different methods. The successful candidate will be jointly supervised by: Dr Edward Gillman (https://www.nottingham.ac.uk/physics/people
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development (such as 3D modelling, VR, animation or interactive design) with inclusive design and accessibility. This project bridges computer science and social care to deliver a digital health training tool
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, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
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priorities, particularly Advanced Materials, Quantum and Emergent Phenomena, and Digital Futures. It addresses the discovery and control of novel material functionalities, supports high-risk and high-reward