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Field
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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
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background in immunology (innate and/or adaptive immunity). Experience with tissue analysis and image processing. Experience with preclinical animal models. Experience with single-cell or spatial omics
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chemical biology, analytical chemistry, mass spectrometry–based omics, advanced imaging, and in vivo models to define the fundamental mechanisms governing brain lipid metabolism. Baylor College of Medicine
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, signal processing and inverse modelling. The role is based at the Image X Institute and will be led by Dr Chandrima Sengupta. You will benefit from a strong mentoring environment; lead and be part of high
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, cryosectioning, immunocytochemistry/immunohistochemistry, advanced staining (antibodies, RNAscope, proximity ligation assays) and high-resolution imaging approaches and quantifications from both mouse and human
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this condition. You will evaluate their interactions using in vivo micro-CT, intravital imaging, spatial transcriptomics and molecular analysis techniques, identifying the key pathways governing this process
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: The project aims to develop a novel mechano-Raman imaging platform to map mechanical deformation in polymeric materials with high sensitivity. By combining the design of vibrational force probes with advanced
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About the role We are seeking an outstanding candidate to work in the Process Dynamics group to contribute to advanced research in AI-driven X-ray imaging for metal alloy solidification
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at the Department of Cell and Molecular Biology. The Elf group works across traditional disciplinary boundaries to explore life at the molecular level. We build physical models of key biological processes and develop
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses