609 engineering-computation-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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The Manufacturing Technology Centre UK, and the University of Nottingham This project offers an exciting opportunity to undertake industrially linked research with engineering teams
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engineering, physics and applied mathematics. You should have experience in one or more of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply For information on how to apply, please click on the ‘Apply’ button
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degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Geoscience, Civil Engineering, Physics, or Computational Science). Enthusiasm for research, the ability to think
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experience in a range of industrially relevant computational engineering techniques. You will develop expertise in high-order finite element methods, mesh adaptation techniques, advanced parallel programming
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to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing