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Mathematical Modelling of Neurovascular function: Developing and refining brain tissue models to enable world leading research into neurovascular coupling in health and disease School of Psychology
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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are looking for an ambitious candidate with a strong background in mathematical and statistical methods for both physics-based modelling and machine learning, and their application to engineering problems in
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matter, carbon and nitrogen quantification Essential Application/interview Ability to manage and evaluate scientific, mathematical or other technical data/documentation and call attention to any anomaly
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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will
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, Physics, Mathematics, Engineering, or a related field. Applicants from other backgrounds with strong quantitative, programming, or analytical experience are also encouraged to apply. Strong programming
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. The successful candidate will join the established research teams of Dr David Williams (Nucleic Acids Chemistry) and Prof Nick Williams (Mechanistic Organic Chemistry), based in the School of Mathematical and
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ridged sail cascades. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is available only for Self
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the Government. Further information can be found here Essential Application A minimum of five GCSE grades A*-C or Grade 4-9 including English and Mathematics. Essential Application Existing experience must be
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by the physical system. You should have a strong background in theoretical physics, mathematical optimization theory, or quantum error correction, and have completed or be in the final stages of a PhD