47 density-functional-theory-molecular-dynamics PhD positions at University of Nottingham
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dynamics that govern flow boiling heat transfer and critical heat flux. The work ultimately contributes towards the development of improved methods for predicting critical heat flux in nuclear reactors
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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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, usability, and insight into leakage dynamics across diverse constructions. Research Objectives The project is structured around three synergistic work packages: Descriptive Analytics: You will conduct a
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Evaluating the use of longitudinal over-the-counter healthcare sales data as a source of syndromic surveillance for community-based infections UK Health Security Agency and Nottingham University
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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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 Closing Date: 15 July 2025 Overview
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PhD Studentship: Towards Sustainable Powertrains: Enabling High Motor Performance without Rare Earth Materials and Energy intensive Manufacturing Processes The University of Nottingham This project
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that deliver high power density and exceptional efficiency at reasonable cost. However, most existing machines, particularly high-speed, radial-flux permanent magnet motors, are reaching their performance
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2025, or as soon as possible thereafter. The PhD project will explore the performance and reception of Western Classical music in Jamaica and/or Barbados in the long nineteenth century. British
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning