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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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. Demonstrated experience in machine learning–based image analysis / computer vision, preferably using microscopy data Strong programming skills in Python Additional background in AI and machine learning
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(for example, cell biology, biochemistry, mouse models, and/or image analysis). The candidate should be highly motivated to investigate key open questions in the fields of: Vascular biology Immunology Cell
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(for example, cell biology, biochemistry, mouse models, and/or image analysis). The candidate should be highly motivated to investigate key open questions in the fields of: Vascular biology Immunology Cell
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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including