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Experience working with peer-researchers/co-facilitators Desirable criteria Understanding of data confidentiality and data security Experience working across policy, public health, voluntary sectors, or with
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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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-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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simultaneous data acquisition with fluorescence live-cell microscopy. This PhD position offers the opportunity to develop technologies for acquiring novel data on cancer tissue biomechanics—information that has
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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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will be filled once a suitable candidate is identified. Further information Informal enquiries are welcomed and should be directed to Dr Sebastian Neira Castillo – s.neira@ed.ac.uk . Formal applications
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address and phone number, one of which must be your most recent line manager. For information about how your personal data is used as an applicant, please see the section on Applicant Data (https
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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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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