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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming
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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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include contributing to the developing programme of work on decision analytic modelling in cancer research, develop networks and links with collaborators, external contacts and leading thinkers in
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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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include contributing to the developing programme of work on decision analytic modelling in cancer research, develop networks and links with collaborators, external contacts and leading thinkers in
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services research and epidemiology, along with practical skills in managing large, complex datasets. Proficiency in statistical software, especially STATA, is essential. You must be able to handle multiple
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making strategic decisions Work alongside, and liaise with, collaborative partners within the INSTINCT-MB network institutions Ensure intellectual rigour and adherence to ethical standards in the research
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
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scale. Assist/contribute in preparing research outputs including reports, publications, and presentations Work collaboratively across academic and policy networks The role offers an opportunity to work