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Field
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orbital parameter extraction using image processing techniques. The ideal candidate should have a strong background in physics, engineering or a related field, as well as experience working with programming
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(or expect to obtain) a First Class or high 2:1 degree, or a Master’s degree, in Physics, Materials Science, or Electrical & Electronic Engineering. A solid understanding of semiconductor physics is a
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. Creation of these ABMs will advance our understanding of why evolution selects and maintains individual heterogeneity [1]. You will apply this knowledge to engineered swarm systems. Swarm systems tend
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they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science or Physics Excellent written and spoken communication skills in English Strong mathematical and
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relevant science or engineering related discipline. To apply, please contact Dr Tom Bannan -thomas.bannan@manchester.ac.uk . Please include details of your current level of study, academic background and any
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an IELTS score of 6.5 overall with a minimum of 5.5 in each subsection. International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa
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conceptual and experimental framework for engineering functional nanostructures from bottom-up principles. The work will benefit from access to robotic processing platforms and state-of-the-art microscopy and
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
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PhD in Modifying Surfaces of Non-Metallics to Improve their Longevity or Functionality by Atmospheric Plasma Processing The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project