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you should have studied qualitative research methods at master’s level, and be familiar with qualitative interviewing and qualitative coding of interview data. References References Harwood, N. (2005
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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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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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programmes. Ownership and support / preparation of project and programme budgets, in collaboration with Research Engineers to ensure they are not exceeded and spent on relevant project items. Detailed
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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
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science research’. This role will incorporate various research activities: refining and evaluating the ‘MAIHDA’ multilevel modelling approach, ideally through simulation studies, and applying the method
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interactions with the free surface of the sodium pool, and the stratification and natural circulation of the sodium pool. Numerical simulations will be carried out using direct numerical simulations (DNS) and
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platforms Work closely with Epitaxy specialists and the group’s collaborators to design, fabricate, test and validate advanced III-Nitride device concepts Develop device fabrication methods suitable