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benchmarking Proficiency in quantitative research methods, statistical analysis, and computational techniques Proficiency in programming languages such as Python and statistical software such as R, with basic
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experimental particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are required. The successful applicants are expected to be
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electrolysers (PEMWEs) across three key areas: Developing standardised sampling and analysis methods to measure PFAS emissions in liquid, gas, and aerosol streams and validate PFAS release during system operation
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outcomes. The evaluation uses an integrated mixed-methods design that includes analysis of statewide administrative data, annual surveys of educators, interviews with district and state education leaders
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project deliverables which involves preparing 2D materials and porous materials for nanochannel fabrication. Comprehensive analysis of materials including density measurement, microstructure analysis and
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analysis. Applicants are invited to contact Prof. Chien-Ling Huang at telephone number 3400 8602 or via email at [email protected] for further information. Conditions of Service A highly competitive
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms for defect detection, image/video analysis and understanding Key Responsibilities: Develop artificial
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with rigorous research, academic expertise and analysis focused on improving outcomes. EDIT focuses on designing robust, pragmatic evaluations of complex social programmes, combining academic rigour with
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interview guides, undertake data analysis, coding, and document analysis, and contribute to the development and management of the project's dataset. The role is primarily methodological, providing research