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                Research Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, preference will be given to those with experience in finite element simulations and high 
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                or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete 
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                project - “Develop an analysis tool to estimate dynamic performance of floating structures under environmental loading”. Qualifications Applicant should: (a) have a PhD degree in Ocean Engineering or 
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                analysis; (b) develop and evaluate AI and machine learning models; (c) manage data collection and research activities; (d) prepare reports, publications, and project documentation; and (e) assist in project 
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                Fuel life cycle analysis (LCA) and techno-economic analysis (TEA), they will be required to conduct life cycle environmental impact assessments of sustainable aviation fuels and other energy sources 
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                - “Fiber route estimation for optical networks in metropolitan areas based on DAS signal analysis”. Qualifications Applicants should have a doctoral degree plus at least three years of postdoctoral research 
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                management. They will be required to: Post 1 of Research Assistant (a) conduct mechanical design and analysis for innovative space applications; (b) source and select components for research prototypes 
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                Assistant (two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling 
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                biology, cell culture, animal experiments and/or OMICS analysis. Preference will be given to those with demonstrated experience in investigating obesity, diabetes and adipose tissue biology. Applicants 
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                ) strong background in quantitative methods, statistics, computer science, geospatial data analysis and modeling; (b) experience in AI and geospatial computer version; (c) advanced skills in scientific