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to optimize metagenomic workflows across sample types, developing integrated, sample-specific methodologies. Collaborating with leading academic developers and front line metagenomics users, including
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Location: South Kensington and White City Campuses Contract: Full-time, Fixed-term appointment for 48 months initially, with the potential to extend depending on programme requirements About the
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Funding: School of Computer Science studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email
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project offers a unique opportunity to develop a cutting-edge genomic epidemiology toolkit for real-time fungal surveillance. You’ll optimize DNA extraction protocols using advanced enzyme-based methods
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personalized. The candidate will investigate textiles, computational design, and functional validation of hand-worn assistive devices, aiming to create textile exoskeletons that can conform to complex hand
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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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Start Date: October 1 2025 Introduction: This PhD project in Aero-Thermo-Structural Simulation and Optimization of Mechanical Interfaces in Hypersonic Vehicles will be carried out under the UK
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 13 days ago
. The research will be computational based, and at this stage is still broad, so we can formulate the optimal plan for the right candidate. We will take an interdisciplinary approach, and you will be able
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become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine