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machine learning libraries such as PyTorch. Experience with version control systems (e.g., Git) and collaborative software development. Background Investigation Statement: Prior to hiring, the final
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excellent candidates in all sub-fields of political science, including public policy and administration, comparative politics, political theory, international relations and research methods. The appointment
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will conduct the lab experiment for RAS system for pollution control in recycled water in aquaculture system. He/she will also use machine learning tools to predict and optimize the RAS system. Job
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, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain
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for measuring patient reported outcome measures in the population of Singapore based on the efficient application of Natural Language Processing and Item Response Theory to existing measurement systems working
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implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised
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control methodologies) the project will establish a robust framework for coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing
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the NSF-funded project “Energetic Controls on Marine Benthic Community Structure in Space and Time”. This position will conduct research under the supervision of Dr. Adiel Klompmaker. This is a project
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undertaking a specified range of activities within the research fields of holography, gauge theory and related areas. Role Summary Work within specified research grants and projects and contribute to writing
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of sewer network and overflows to support effective management, and develop strategies to control pollutions at sources. The post will include delivering research outputs in the form of weekly reports