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with major in Power Engineering • Relevant experience in power electronics, drives, control algorithms, optimization techniques, and optimal energy management algorithm development for the optimal
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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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. The post holder will join the Chemistry groups led by Prof. Peter Slater, Professor Paul Anderson, and Dr. Phoebe Allan, https://www.birmingham.ac.uk/staff/profiles/chemistry/anderson-paul.aspx https
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opportunities for travel to Tanzania. Role Summary Work with the study investigators (Prof. Sam Watson (University of Birmingham), Dr Penelope Hancock (Imperial College London) and Prof. Fredros Okumu (University
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 19 hours ago
software tools in order to develop biometric algorithms for recognition, spoof detection, fairness in AI, template security, and explainability, and related research areas, as well as paper and report
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. The successful applicant will use state of the art inference algorithms to design, use and share the findings of epidemiological models that integrate across large and diverse datasets including capture-mark
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai
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for the Research Assistant post should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. John Xin at telephone number 2766 6474 or via email at john.xin@polyu.edu.hk
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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to develop a strong understanding of new components as needed. This position is funded by NERC under the MACLOUD project, supervised by Prof Jim Haywood and Prof Paul Halloran. This is an exciting