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Field
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Technology, Mathematics and Statistics, and Computer Science. More about the position Modern diffusion models underpin state-of-the-art generative AI for images and continuous data, yet principled diffusion
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tools, clinical decision support, and medical imaging applications, are typically categorized as high risk, requiring strong oversight and comprehensive governance. Yet even with clear legal categories
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of tomographic imaging techniques to capture oil/water distributions in a 3D geometry. In the second half, we will use these techniques to study the flow and stability of an emulsion through a constriction
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sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Cardiovascular Magnetic Resonance (CMR) plays a central role in the non-invasive
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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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advanced phenotyping, imaging technologies, AI-based analyses, and digital twins. The PhD candidate will work on spring wheat genotypes adapted to Norwegian and northern European growing conditions
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-MS imaging) Neurobiological analyses including immunohistochemistry and confocal microscopy Behavioural assays (e.g. phototaxis, predator cue perception) and electrophysiological measurements Field
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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experience in marine and polar environments. Experience with image analysis and molecular techniques, as well as taxonomic knowledge of Arctic zooplankton. A record of peer-reviewed publications will be taken
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Chemistry and Bioimaging, Faculty of Chemistry, Wrocław University of Science and Technology Position description: Conducting mass cytometry (CyTOF) and imaging mass cytometry (Hyperion), immunological