412 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" PhD positions in United Kingdom
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for the following programme: https://study.ed.ac.uk/programmes/postgraduate-research/495-informatics-ipab-robotics-computer-vision-computer-graphics with a start date of 14 September 2026 (home applicants
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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case study, supporting local action, and generalising and sharing findings for the benefit of other regions. The focus will be on data collection, processing, analysis and visualisation and systems
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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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for REF 2021 - Research Excellence Framework. For more information about our research results and case studies please visit the following link https://www.exeter.ac.uk/research/ref2021/ Projects Available
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holding a master’s degree, will be considered on an individual basis. Selection process Please see our website for further information Website for additional job details https://www.swansea.ac.uk
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. Seaborn's research. Further information on the PhD in Computer Science programme can be found at: https://www.postgraduate.study.cam.ac.uk/courses/directory/cscspdpcs/apply All applications should be made
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of spins that could form the basis of future low-power data storage devices. However, real skyrmions are three-dimensional and can twist, stretch, or deform when trapped by material defects - behaviour
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more complex correlations between the channels. Moreover, this method does not allow to easily include information from different sources, for example from nuclear experiments. Additionally, for many
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physics-based and data-driven methods to support the design and scale-up of these systems. This approach will reduce the need for costly experiments, improve scale-up predictions, and provide confidence