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applications for monitoring and managing aquatic environments under study, the Mekong river delta and the Forth river system Develop, test and apply algorithms for the processing and analysis of satellite data
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
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subjects, and the five subjects must include English Language, Chinese Language and Mathematics. Applicants are invited to contact Prof. Bo Li at telephone number 2766 7255 or via email at comp-bo.li
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, please get in touch with Prof. Ali Elham, a.elham@soton.ac.uk
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. For further inquiries about this position, please get in touch with Prof. Ali Elham, a.elham@soton.ac.uk You should submit your completed online application form by clicking the ‘Apply’ button above.
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the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
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field and software architecture. Applicants are invited to contact Prof. Shuangxia Niu at telephone number 2766 6183 or via email at eesxniu@polyu.edu.hk for further information. Conditions of Service
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positions are possible if suitable candidates can be identified. The candidate is expected to have a PhD degree in astrophysics or related principles and will work with Prof. Bing Zhang to conduct research in
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing