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Job Description The successful candidate will work with Dr. Boxiang Liu on the development of novel computational models and the analysis of single-cell and spatial transcriptomics data. The main
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working ability; • Statistical knowledge and command at least one of the following programming languages: R/Stata/Python. • Experience in using spatial statistics and geospatial analysis tools
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multidisciplinary team. This position offers a unique opportunity to engage in innovative research projects in Singapore and Southeast Asia across a range of topics, including spatial epidemiology, infectious disease
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technologies including but not limited to spatial data analysis, satellite image processing, advanced machine-learning algorithms for forecasting, post-processing to further improve forecast accuracy
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multidisciplinary team. This position offers a unique opportunity to engage in innovative research projects in Singapore and Southeast Asia across a range of topics, including spatial epidemiology, infectious disease
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histology processes to spatial proteomics and transcriptomics analysis. We are looking for a meticulous and dedicated Research Assistant to anchor the day-to-day running of spatial biology services, and to
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and spatial analysis, the cohort aims to identify behavioural and environmental determinants of lifestyle risk factors, which inform the design of personalised lifestyle interventions. • Future Health
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Skills in spatial network analysis Excellent writing and strong communication skills in English, including an ability to present research in both academic and non-academic venues Meticulous and has good
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requested from other members of the lab. Such analyses include, but are not limited to: Processing and analysis of sequencing data generated from procedures such as RNAseq ATACseq, and spatial analytics
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Asian forests are of tremendous ecological and economical importance to ASEAN countries in the combat of climate change. Yet exact spatial distribution, health status and carbon stock of these forests