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from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods
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the wind/renewable energy training and research elements of the CDT programme. Funded by Statkraft and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of data
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either English or German. Some additional courses may be in German. Some events, such as internal lab meetings, etc., may also be in German. Programme duration 6 semesters Beginning Only for doctoral
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aims to explore who takes physics and astrophysics major units, why they pursue them, and what obstacles they may face. There are a number of research questions under this umbrella. Computational
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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second (2.1) class degree in Physics plus a Master's degree in Physics before the programme starts. The rapid move to wireless devices and the proliferation of cloud-based technologies call for denser
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at the same time an application for admission to a PhD program at the institution. The documentation that is necessary to ensure that the admission requirements are met must be uploaded as an