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, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
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We are recruiting an Artist in Residence to undertake artistic research with a focus on Distributed Acoustic Sensing (DAS) technology, in the context of the recently awarded UKRI grant ‘SOUNDSCALE
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Predictive and optimization-based control of smart grids: theory and algorithms School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline
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Limited is a family firm with a strong position in a niche market. They intend to grow their business rapidly by improving their systems capability to meet customers’ transport and distribution needs
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enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want to help build and maintain some of the largest
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as to what role law should play in reducing potential harms, in helping to distribute risks and benefits across different groups in society, and in how existing (or future) legal rights and duties
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proficiency in distributed and high-performance machine learning algorithms, methods for exploiting modern system architectures for high-performance AI, and quantum distributed computing. A proven track record
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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immunofluorescence imaging. The successful candidate will support the design, optimisation, and analysis of multiplex panels to characterise the spatial distribution of immune and other cells within tumour tissues
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distributed tasks such as inspection of a big geographic area for fires is an important objective of this project. The project aims are to: 1) provide methodological contributions towards intelligent sensing