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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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to an EU-funded research project “Ensuring Secure & Safe Connected Medical Devices Design with Zero Trust Principles” (the project short name is ENTRUST). The main responsibility of the post holder will be
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Scholarship will join a vibrant and challenging academic environment where innovation, insight, and knowledge creation feeds into high quality research. Deadline for applications (both international and home
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
is at the forefront of innovation. If successful, the outputs of this research could be implemented in industrial settings, generating tangible impact to improve emission reduction in the UK. The
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resources efficiently, and clearly convey complex information. Previous experience with decarbonization in the transport sector, LCA, EE-MRIO models, sampling design, and emerging cities including working
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
University Research Abstract: The focus of the proposed PhD study is the design and development of an inter-connected cyber-physical autonomous robotic system for monitoring, inspection, and maintenance
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research will focus on contributing to the design of this network and verification of its performance, or specific aspects of it. It may involve, as one component of the research, developing the Claims
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satellite communication systems. The aim of the PhD is to investigate, design and fabricate multi-port glass-based components (e.g. isolators, circulators, and loads) for >60 GHz duplexer applications
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colleagues at Public Health to evaluate the development of a Mental Wellbeing approach that is designed with and delivered by the Voluntary, Community, Faith and Social Enterprise Sector. The learning from
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. The developed new knowledge will assist performance designs, analysis, operations, and condition monitoring of sCO2 power generation systems. The project will be undertaken using the strong thermodynamic