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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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testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and
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well as validation of the platform in clinical contexts, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database
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this exciting role, you will focus on the annotation and analysis of genomes from protists and other microbial eukaryotes. This work integrates multi-omics data and involves benchmarking and developing methods
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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and
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the research team, by contributing to multiple research projects, including: • writing for ethics applications. • developing data collection tools. • recruitment of participants into studies and
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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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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor measurements, analyze air quality data, and generate insights
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experience. They should also have a strong publication record in laboratory-based research and clinical data analysis. Applicants are invited to contact Prof. Chien-Ling Huang at telephone number 3400 8602