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Field
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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. The successful candidate will perform a wide variety of MRI examinations and will be expected to be involved with optimization and development of scanning protocols for private, NHS, and research services
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focusing methods to reduce channel interactions and improve speech perception with Cochlear Implants. Questions to be addressed are: What is the optimal neural excitation pattern for each electrode of a
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Manager and Estates to ensure the facility environment is maintained to an optimal state, as well as working with the Faculty Safety Manager, to ensure that health and safety policies, systems and
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sensing, and Electromyography (EMG) tools to understand user-device interaction and optimize real-world rehabilitation performance. The student will gain experience in AI, human biomechanics, smart textiles
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with Principal Investigators, the faculty’s Resources Manager and Estates to ensure the facility environment is maintained to an optimal state, as well as working with the Faculty Safety Manager, to
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commercial activity. This involves identifying partners for different translational and commercial opportunities, negotiating and concluding optimal deals and post-signature management to ensure delivery
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modelling tools (CST or HFSS) - Fabricate and test for optimal electromagnetic performance, such as bandwidth, return loss, insertion loss and power-handling. - Develop and characterize new bonding/alignment
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optimizing cloud solutions that support business objectives of the JOINER project. The ideal candidate will have hands-on experience with AWS and VMware, deep knowledge of hybrid clouds including the network
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yeast and fungi for food ingredient and biochemical production. The specific goals are: Metabolic engineering of Yarrowia and Candida yeasts for organic acid production Design and optimization