1,820 data-"https:"-"https:"-"https:"-"https:"-"I.E"-"CERIC-ERIC" Fellowship positions
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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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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investigators. Contribute to study design, data collection, analysis, and interpretation for translational pathology projects (e.g., NGS, IHC, spatial assays, image analysis). Design and perform wet laboratory
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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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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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approximately 5-10°C warmer than the 1970-2010 average. The role will involve the generation of ecophysiological data as measurements of plant performance and generating morphological and anatomical trait data
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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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(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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(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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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