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of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting
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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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-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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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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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
: £37,174 - £45,413 Fixed-term: The funds for this post are available for 24 months in the first instance. To apply online for this vacancy and to view further information about the role, please click 'Apply
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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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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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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