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-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
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records, and supporting project timelines Lead and manage ethics processes, including preparation of applications, amendments, and ensuring compliance with institutional and ARC requirements Coordinate data
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of chronic diseases using wastewater-based epidemiology. This will involve integrating evidence from systematic reviews, epidemiological studies, and wastewater-derived data to build comprehensive, predictive
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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9 Mar 2026 Job Information Organisation/Company Institute of Computer Science CAS Research Field Computer science Mathematics Neurosciences Researcher Profile First Stage Researcher (R1) Application
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to disentangle the drivers of landscape and climate change in the Afrotropics since the introduction of domesticated food economies. The project will collect and analyse diverse types of data
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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is intended to provide valuable training in research governance and
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target trial emulation: Developing and Applying advanced causal inference methods to analyze real-world data (e.g., OLDW) Scientific writing: Publishing leading biostatistical and clinical journals Data