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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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degree in a relevant discipline (Robotics, Electrical/Electronic Engineering, Computer Science, Mechanical Engineering, or related fields). - Strong mathematical background and good programming skills
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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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Data Driven Modelling, Machine Learning, Applied Mathematics/ Statistics, or related engineering and computing fields (or have equivalent experience) Essential Application Strong background in data
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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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Application/interview Ability to manage and evaluate scientific, mathematical or other technical data/documentation and call attention to any anomaly Essential Application/interview Be able to communicate
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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