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related to tissue biology including 3-D tissue imaging, mouse genetics and cell biology. Key Responsibilities: Perform experiments involving advanced imaging, tissue/cell culture and mouse models, data
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related analysis workflows. -A solid foundation in molecular biology techniques (e.g., PCR/qPCR, Westerns, cloning). -Experience with confocal imaging and quantitative image analysis. -Excellent
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include modeling of bulk and single-cell transcriptomic profiles, integrative multi-omics analysis, and the fusion of molecular data with clinical and imaging features. Organizational Status The successful
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, diffusion models is a must. For image authentication: In depth knowledge of AI editing methods, deepfake classification methods, and property of generative models. For biometrics: In depth knowledge of face
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an internal secondment opportunity which would need to be agreed by your current line manager. Background To create and contribute to the design and analysis of behavioural, fMRI and MEG studies of
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quantitative imaging: e.g., confocal/super-resolution microscopy, live-cell imaging, image-based morphodynamic analysis * Molecular and cellular engineering approaches: e.g., CRISPR-based perturbations, reporter
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preserved fossils from NW Canada in the Museum's research collection, including the imaging, microscopy, sample preparation and geochemical analysis. Examine existing collections for related material and
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, xenograft models, brain tumor biology, confocal imaging, immunofluorescence and/or FISH and/or computational analysis of scRNAseq/RNAseq/spatial transcriptomics Background in brain tumor biology Knowledge
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to develop prototype solutions and decision-support tools. Analyse results and assess the performance and applicability of developed methods in realistic operational scenarios. Prepare technical reports
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text