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fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study for a four year, full time funded PhD
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slice models with Dr Chan’s research on mTOR signalling and metabolic drivers of epilepsy in mTOR related disorders. For information about the UoB Centre for Neurogenetrics, see: https
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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within a state-of-the-art cleanroom, experimental optical systems and data analysis. This research is ideally suited to candidates with interests in photonics, metamaterials, ultrafast optics
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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This project will utilise the internationally unique pathogen genomic and associated meta data for all TB cases in the UK, numbering in the tens of thousands over more than a decade. This data set
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these findings should be used to design AI agents that actually warrant our trust. You can find more information about our work and approach at the Project Website: https://research.kent.ac.uk/trust-moral-machines
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platform. Training the development digital-twin using real-time data from hardware available Electrical power level studies with developed digital twin to identify visible solutions for distribution electric
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to apply For further information please contact: Name: Dr Francesco Fanicchia Email: Francesco.fanicchia@cranfield.ac.uk If you are eligible to apply for this studentship, please complete
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Funding information: The studentship is for 3.5 years and provides a tax-free stipend of £20,780 per annum for the duration of the studentship plus university tuition fees. Due to funding restrictions