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, computer vision specialists, and digital humanities engineers, both at the Paris Observatory and at other partner institutions. One of EIDA's core research areas concerns the plural definition of image
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Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong background in remote sensing data analysis, image processing, and geospatial analysis. Experience working with
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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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motility apparatus through single molecule fluorescence imaging approaches. Underpinning genetic and biochemical experiments will also be required. The project will build on our recent work in this area
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-scale multimodal neuroimaging dataset, brain imaging quality control and processing. Assist with grant applications, manuscript preparation and supervision of RAs and volunteers. Performs other duties as
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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(BBB) dysfunction and edema in brain cancer, a major source of morbidity in the disease. Using radiomics, single-cell, and spatial omics, the project integrates imaging and molecular data to better
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background in remote sensing data analysis, image processing, and geospatial analysis. Experience working with satellite imagery (e.g., Landsat, Sentinel) and other remote sensing data sources. Proficiency in
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, and imaging-based omics to deconstruct brain tumour behaviours into their cellular and molecular building blocks. Our research spans the interface of molecular biology, computational modeling, and
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experience in computational methods, which may include machine learning. This could involve medical image analyses and processing or biomarker quantification approaches. Experimental set up experience would be