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Field
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interact without full trust in a centralized party. This research project aims to develop cryptographic solutions and frameworks that secure AI systems, particularly in decentralized and distributed settings
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trust in digital communications and readily bypass conventional security controls. This PhD research proposes to design, develop, and validate a novel, explainable, multi-modal detection framework. By
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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for fieldwork in South America. Training and Skills Development This PhD will provide comprehensive training in: Molecular techniques: DNA extraction, PCR, and next-generation sequencing library preparation
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to Oceans sets the scene for the project to develop these further and to apply them in the following years to analyse the North Atlantic marine resources. The use of Ocean Accounts allows the identification
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, focussing on Svalbard – the fastest warming place on the planet, offering natural gradients in soil development, and pristine and anthropogenically influenced environments. Methodology The overarching aim is
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atmosphere (1). Research Methodology: The primary objective of this PhD studentship is to develop near real-time capability for top-down ffCO2 quantification, based on synchronous changes in atmospheric CO2
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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range of reactivity, and particularly C-C bond formation. Directed evolution approaches will then be applied to guide the selectivity of the new enzymes towards target molecules and drug fragments
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inequalities which arise from economic policies. You will have the opportunity to work with a multidisciplinary team of geographers, public health experts and policy partners to develop computational models and