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PhD Studentship: Development of a novel analytical platform combining laser-based techniques and multivariate data analysis for the characterisation of radioactive waste disposal materials The aim
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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years. Your main duties and areas of responsibility This PhD project addresses data analytics and optimization for routing and control of wind-assisted ships and is part of the WINTEGRATE (WIND+INTEGRATE
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duties and areas of responsibility This PhD project addresses data analytics and optimization for routing and control of wind-assisted ships and is part of the WINTEGRATE (WIND+INTEGRATE) project, which
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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Responsibilities Develop cloud-based pipelines to process robotic/ATS survey data Build AI/analytics models for alignment, deflection, and tolerance control Design real-time dashboards and alert systems Develop BIM
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of Singapore (NUS) with the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc reporting purposes to meet multiple information and strategic requirements
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the Oakland campus. The successful candidate will teach on-campus and online undergraduate-level courses in the Bachelor of Science in Analytics. Instructional areas include, but are not limited to, data
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Analytics. Instructional areas include, but are not limited to, data analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization
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-concentration purposes). Analytical platforms will be applied in environmental and food analysis, among other applications. Mandatory requirements: PhD in Sciences (areas: Analytical Chemistry or Materials