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uniquely accessible human fetal tissue from the Scottish Advanced Fetal Research Study (SAFeR), advanced single-cell genomics, proteomics, spatial imaging and ex vivo human tissue models, the programme will
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bioinformatics research focused on cancer epigenomics, gene expression, single-cell and spatial omics, and metabolomic data analysis. Develop computational tools, apply AI and machine learning approaches
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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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based models to predict spatial variations in sediment carbon retention and blue carbon accretion capacity across coastal habitats. • Integrate hydrodynamic modelling outputs with sediment, restoration
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to 3.5 years based on the performance and career plan of the hired person. Responsibilities • Assess landscape performance (visual, spatial, and functional) • Apply geospatial and image-based
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
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computational biology company. The project focuses on understanding patient responses to drug treatments through multiomic analyses, including chromatin profiling, single-cell sequencing, and spatial
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University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences | Aberdeen, Scotland | United Kingdom | 22 days ago
platform for delivering the required data for analyses. These include immunity, inflammation and thrombo-inflammation with data from multi-omic profiling of circulating immune cells, spatial transcriptomics
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visualisation of thermal patterns, including temporal trends, spatial variation, and site comparisons. Research Support and Project Deliverables: · Support the interpretation of measurement results in relation
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institutional initiatives such as DAISI. Dr Chen Jinmiao is seeking a motivated Research Fellow to join CBDS. The successful candidate will contribute to AI-powered analyses of single-cell and spatial omics