9 computational-physics "https:" "https:" "https:" "https:" PhD scholarships at University of Nottingham
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benefit from peer-to-peer learning and transferable skills development. For full information about the programme, the research projects available and how to apply, please visit: http://nottingham.ac.uk
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Science, Nutrition, Psychology, Computer Science, Human–Computer Interaction, Data Science, Biology, Chemistry, Physics, Bioscience or related fields. As the project involves collecting data directly from
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Science, Nutrition, Psychology, Computer Science, Human–Computer Interaction, Data Science, Biology, Chemistry, Physics, Bioscience or related fields. As the project involves collecting data directly from
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for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development. Motivation
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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to an expert committee from the University of Nottingham as part of a competitive process to secure the funding. How to apply: Fill out this form: https://forms.office.com/e/SxNLR1qbBE?origin=lprLink , answer
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the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering
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communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: Please note that this is a self-funded PhD opportunity, you must secure your own
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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