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transferable and interpretable models for tabular data, efficient learning paradigms for medical imaging, and causally grounded and identifiable representation learning. You will have great freedom to influence
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aggression, fear, and feeding), using large-scale neural recordings, advanced imaging, causal perturbations, and quantitative analysis in freely moving mice. For an overview of the lab’s research program and
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other relevant qualifications A high level of computer proficiency, particularly in advanced imaging and image analysis, FACS, in vitro and/or in vivo assays Very high motivation, ambition and enthusiasm
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for the bioinformatic analysis of these data to integrate the two data types to produce a spatial deep expression map at cellular resolution. The spatial expression data will then be overlayed with images
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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using CRISPR-Cas9, RNA and protein analysis, immunohistochemistry, whole mount techniques and confocal imaging. Familiarity with omics data analysis, such as transcriptomics and proteomics, will be a
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and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging techniques and data analysis
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The division boasts extensive experience in fundamental research within computer vision, machine learning
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get