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High speed photography to investigate surface wear and fatigue in railway rail and wheel steels
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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a combination of organic chemistry synthesis, biochemical synthesis, and analytical methods such as mass spectrometry and NMR to identify reaction products. Please apply for this project using
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data collection Essential Application/Interview Experience conducting a range of qualitative methods, including interviews and focused ethnography (i.e. observations, in-situ interviews) Essential
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in handling stall onset and recovery. This project will focus on the modelling and control of hysteresis effects, under the framework of numerical optimal control. The aim is to develop advanced
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of male quality. Specific questions and approaches taken can be tailored to the particular interests of the student, but objectives could include: (1) Applying cutting-edge genomic methods to study the
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) (Apprentice and non apprentice) training programme across our partnerships of regional health care employers. This Clinical Educator post works with tACPs within their clinical placement settings and on study
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order to research the performance of FGM. This research will benefit from excellent computing facilities, expertise in computer-aided engineering (CA2M lab), the available experimental facilities
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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method