21 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Newcastle University
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project aims to address this gap through the development of a rigorous empirical framework for evaluating the security robustness, failure modes, and operational risks of AI decision engines in cyber
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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
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biomarkers predicting clinical outcome are lacking. Improving our understanding of the biological pathways underlying mitochondrial disease is essential for the development of better diagnostic, prognostic and
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to advance efficient evaluation of how fluid composition and temperature perturbations influence mineralogical alteration and, ultimately, reservoir performance and development decisions. The project will
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identifies new health and care innovations, it rarely considers factors influencing implementation. The PhD will be co-developed with the student and examine how implementation considerations can be embedded
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testing methods and symptom severity affect diagnosis. Study how antibiotic use in the community relates to resistance. The student will develop models to identify high-risk areas and populations, helping
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innovative and dynamic sector, estimated at more than £100 billion and growing at over 6% every year. This project aims to deliver a step-change in hair care technology by developing new strategies to form
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£100 billion and growing at over 6% every year. This project aims to deliver a step-change in hair care technology by developing new strategies to form covalent bonds within hair fibres, moving beyond
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balance environmental, clinical, and economic priorities in innovation and adoption decisions. Through horizon scanning, evidence synthesis, and empirical research, the student will develop frameworks
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, reproducible, and comparative empirical assessments across classes of AI decision engines. This PhD project aims to address this gap through the development of a rigorous empirical framework for evaluating