45 web-programmer-developer-"https:" "https:" "Newcastle University" PhD positions at Newcastle University
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external control. Autonomous agents that can perceive, reason, plan, act, and learn, together with self-configuring, self-healing, and self-optimising behaviours, provide the foundational principles
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-grade experience that employers value. The journey You'll develop machine-readable privacy rules, build core functionalities that audit and explain data-sharing decisions, prototype agent systems showing
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UKRI rate). Additional project costs will also be provided. Overview The project aims to explore the potential of new warheads for the development of targeted covalent inhibitors for drug discovery
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, what changes are made (e.g., labelling), and how it is used (e.g., which models train on it, which versions, for what purpose). Middleware solutions: In this topic, we will explore middleware solutions
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Vassilis Glenis Prof Tom Curtis and Dr James McKenna at Newcastle University with Reece Foundation Eligibility Criteria An MEng/MSc in a relevant subject or First or upper second class UG degree (2:1
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and optimization but lack frameworks to continuously verify AI safety in operational contexts. This project aims to develop a dynamic validation framework for AI systems using high-fidelity digital
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to address climate change. To bridge this gap, this project will characterise wildfire charcoal from historic fires with known ages (years to decades to 174 MA old) to examine compositional evolution and
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that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will be provided. Overview The project aims to develop a new approach to drug discovery by developing new methods for synthesising and
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Overview The project aims to develop a new approach to drug discovery by developing new methods for synthesising and testing potential drug candidates in high-throughput. One of the barriers