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, to extract insights from multi-omic single-cell and spatial datasets Integrate population-level genetic association data (e.g., GWAS summary statistics, eQTL resources) with single-cell and spatial datasets
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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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bioinformatics, computational biology, biology, genetics, computer science, statistics, applied mathematics, physics or a related field. Strong programming skills in Python, R, C/C++ or similar, with experience
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modelling and spatial ecology project focused on urban Singapore. Key Responsibilities: The Research Fellow will develop species distribution models, multi-species occupancy models, biodiversity indicators
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but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during
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) Center of Excellence Research Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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. The successful candidate will join an interdisciplinary team developing novel statistical methods for multi-omics data analysis. Research areas may include method development for studying the tumour