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Field
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Specification A PhD (or thesis submitted) in Mechanical Engineering, or a closely related discipline. Solid experience in engine system modelling, simulation, or calibration using platforms such as GT-Power
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implementation Knowledge of networking protocols and architectures PhD or equivalent R&D experience in computer science, networks or communications, and/or experience with at least one of the following areas
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criteria: Have or be about to obtain a PhD specialising in a field such as computational fluid dynamics, high performance computing, fluid mechanics, turbulence, aerodynamics. Closely related fields
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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. You will hold a PhD or equivalent professional qualifications and experience in aeronautical or mechanical or software engineering, physics, or in computer science/numerical analysis. About the
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a specified range of activities within an established research programme and/or specific research project. This Research Fellow position is established within the Department of Mechanical
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PhD in Medical Robotics, Visual Computing, Machine Learning, AI, Medical Imaging, Image Guided Intervention or a closely related discipline, or equivalent research, industrial or commercial experience
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analysis techniques, tissue morphogenesis/mechanics, we encourage you to apply. About you… You will bring… PhD in developmental biology/biophysics/ cell biology or in the final stages of PhD submission
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dates can be negotiated. You will have a PhD in a relevant discipline (e.g. Astrophysics, Applied Mathematics, or Planetary Sciences), together with experience in large-scale computing. You will also have
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of Earth System Prediction (AFESP) research programme. We invite applications from early to mid-career researchers wishing to carry out independent research, with opportunities to apply for Junior or Senior