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Field
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fundamental discovery to patient care. Our laboratory focuses on advanced label-free optical technologies for disease detection and characterisation. We develop fibre-optic and multimodal imaging systems
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scale. Key activities include: • Fracture mechanics and fatigue for bio-based composites • Numerical implementation and optimization. • Model calibration and validation. • Prototype deployment and testing
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University of California Riverside School of Medicine | Riverside, California | United States | about 5 hours ago
contacting: aobenaus@medsch.ucr.edu We are recruiting for the following areas: Vascular physiology: This position will use modern in vivo imaging (miniscopes, 2-photon, magnetic resonance imaging
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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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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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, 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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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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The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of Magnetic Resonance Imaging as per 15 August 2026 or as
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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