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Field
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-edge computational project at the intersection of AI, physics-based simulation, and materials science. Your key objectives will be to: Build a Multi-Scale Training Dataset - You will use 3D X-ray
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impacts with tools like AlphaFold, and identify candidates for experimental validation. Molecular cytogenetics: Conduct chromosome analysis, immunolocalization and high-resolution microscopy (3D-SIM, PALM
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and tumor tissue) to determine their immune cell infiltration profiles 3D imaging analyses using fluorescence microscopy techniques (e.g., confocal laser scanning microscopy, light-sheet fluorescence
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I supervise a wide range of projects stellar astronomy. They include modelling stars in 1D or 3D, deciphering the origin of the elements (stellar nucleosynthesis), and observing using optical
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temperatures using thermography with acceptable accuracy. Evaluation of available components, design and construction of the device, and production of a 3D model. Methodology for surface temperature measurement
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dimensionality enhancement. The project focuses on musculoskeletal (MSK) imaging of the lower limbs, with the aim of bridging the gap between research imaging (e.g. 3D/4D CT, fluoroscopy) and routine clinical
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to use cutting-edge tools such as single cell genomics, epigenomics, high-resolution microscopy, novel transgenic mouse models, 3D organoid in vitro models, and customized bioinformatics pipelines
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Tomography (CT) – two key NDT techniques used to inspect metallic and composite materials. These methods generate large 3D datasets that can be difficult for human experts to analyse manually, increasing
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Job Description The Biomedical Engineering Centre (BEC), Faculty of Engineering, University of Southern Denmark (SDU), invites applications for a 3-year PhD position within ultrasound-based 3D
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an analytical-computational framework for a “living” 4D Digital Twin (3D + time) to enable automated progress monitoring and multi-domain safety assessment in civil engineering applications. The project focuses