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Field
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processing and quantum machine learning (2) Nonlinear dynamics and/or operator-theoretic analysis (3) Systems and control engineering * Assigned department Existing departments [Work location] * Address 041
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are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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, you will be employed by LASE but will work as part of the University of Greenwich academic division, contributing to its distinct strengths, community and identity while also being part of a wider group
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to work across structural and seismic engineering, system analysis and applications of artificial intelligence, collaborating with social scientists and urban development academics. Note: Appointment at
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, MATLAB) and experience with data analysis tools. • Ability to work both independently and collaboratively within a multidisciplinary team. • Open to fixed-term contract.
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• Possess at least a PhD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science
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the documents as stated in "How to apply". Excellent written and oral proficiency in English Applicants with backgrounds in computational mathematics, numerical analysis, applied and computational algebra
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or entropy coding; Knowledge of code optimization, parallel programming, and performance analysis, including computational complexity, throughput, latency, and memory management; Ability to work independently
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or as part of a team, focusing on quantitative analysis of economic impacts of ultra processed foods; bring and maintain a research profile including (as appropriate) publication of book chapters/ peer