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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
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research documentation, including technical reports, conference/journal papers, and research grant progress updates. Job Requirements: Ph.D. degree in Computer Science, Electrical/Electronic Engineering
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research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD
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this position is contingent upon availability of external funding derived from research programs or specific projects. Required Department Minimum Qualifications: Ph.D. in environmental science, hydrology
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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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Career Research Fellows from Egypt to be hosted by the School of Dentistry at the University of Leeds. They will join a research programme focused on advanced scientific projects. The fellows will be
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, or free speech. Candidates should hold a PhD in a field such as History, Political Science, Public Policy, Criminology, Gender and Women’s Studies, Black Studies, Latino Studies, Ethnic Studies, Sociology
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programming languages (e.g., R, Python, Linux). Record of interdisciplinary research across the biological, chemical, or geological sciences. Academic background(s) or research experience in aquatic
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Cancer (2024), Blood (2022, 2019, 2019), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand
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to research in a highly technical Computer Science group. This role can involve: designing, programming, and maintaining highly technical distributed systems; quantitative analysis of empirical data; modifying