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(e.g., genomics, transcriptomics, single-cell data) is an advantage. We regret that only shortlisted candidates will be notified. More Information Location: Outram Campus Organization: Duke-NUS Medical
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molecular signaling. Experience with one or more of the following: Cell culture and functional assays Molecular biology techniques CRISPR or genetic perturbation approaches Genomics, transcriptomics, or
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environment. · Knowledge of molecular biology, cell biology, immunology, neuroscience, or ophthalmic research is considered an asset. · Experience with single-cell genomics, spatial transcriptomics, machine
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. Experience with cell culture, organoid systems, molecular biology, animal models, gastrointestinal biology, liver biology, microbiome research, immunology, histology, transcriptomics, metabolomics
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integration, gene regulatory networks, spatial transcriptomics, trajectory analysis, or chromatin accessibility analysis. Experience in cardiovascular biology or heart failure is preferred but not required
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utilizing computational approaches including machine learning models, image analysis pipelines, and bioinformatics analyses; Designing and conducting experiments integrating microscopy, transcriptomics, and
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mechanisms of disease. Ability to interpret and work with genomics, transcriptomics, immunologic profiling, or other high-throughput molecular datasets in collaboration with computational team members. City of
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asset. · Experience with single-cell genomics, spatial transcriptomics, machine learning, artificial intelligence, or translational biomedical research is considered an asset. Supervision Receiv ed
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analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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approaches such as single-cell and spatial transcriptomics, in situ hybridisation, differential expression analyses, chromatin accessibility assays, and proteomics. The ideal candidate will have a