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explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will join the internationally recognised EnDROIDS programme ( https
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trustworthy AI: stating requirements precisely, designing methods that meet them, and building prototypes fast enough to use. Applicants should hold, or expect to obtain, a strong degree in computer
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) Skip to main content PhD Studentship - Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Newcastle University - School of Computing Qualification Type: PhD
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research questions, research context, and research methods. In the Supporting Documentation section please upload: Your CV Contact details Claudia Soares Email: [email protected] If you
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-characterised, unique cohort of mitochondrial disease samples. Methods You will apply single-cell proteomic and genomic technologies, integrating these data to investigate disease mechanisms at
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neurodivergent groups. The appointed PhD student will be expected to critically engage with available evidence to determine appropriate methods, e.g. traditional qualitative methods (e.g., interviews, ethnography
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East of England and will explore CDC impact on individual and community-based levels. The researcher will utilise mixed methods to explore: (i) perspectives and impact of the CDCs for service users and
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: Programming Matter - Dynamic DNA Data Structures for Molecular Information Storage and Computing PhD Studentship: Multiomic Insights into Mitochondrial Disease - Integrating Proteomic, Genomic and Single
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understand these experiences, their effects on mental health, and how emerging harms are recognised and addressed. This PhD adopts a multi-methods design to explore adolescents’, parents’, school staff’s
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infections and track resistance. The PhD candidate, funded by the UKHSA, will work with the IID3 study team and the UKHSA using study data. The aim is to understand how laboratory methods can affect the