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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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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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, Specifically, the candidate will develop MR image acquisition methods, pulse sequences and hardware for both hyperpolarised xenon (129Xe) and low field pulmonary MRI applications. The post holder will have the
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Siouris Application Deadline: Applications accepted all year round Details Batch and continuous stirred reactors rely on active and passive methods to drive the mixing of two or more components. Some
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation
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synthesizing of relevant outputs, guidance and literature. Conduct some primary data collection, using methods appropriate to the aims of the research. Contribute to dissemination activities, such as report
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of designing experiments and accurately collecting data with subsequent robust analysis using appropriate statistical methods. Essential Application/interview Ability to update and acquire new skills and
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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