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calcifications present in the retina. The core project of the doctoral candidate will involve testing various forms of application in animal models. We have numerous state-of-the-art technologies at our disposal
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Building engineer or Environmental Science, Planning, Engineering, computer science, innovation science or related fields with demonstrable experience in spatial analysis and numerical modelling
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with spatiotemporal data analyses, remote sensing and numerical modelling; the ability to independently plan and organise the research, and to take a leading role in its direction; strong oral and
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to related fields such as contaminant transport, geothermal systems, and mineral recovery. The ideal candidate will hold A strong background in CFD and/or DEM, A strong numerical background with proficient
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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, you will have experience with acquisition and processing of tomographic images, rock mechanics, machine learning and/or numerical modelling. Given the highly diverse nature of the research groups
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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in combination with the Porexpert Research Suite to construct numerical models that simulate fluid flow, allowing for the calculation of permeability. These results will be integrated with the field
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/e for tactile sensor electronics. Contribute to the development of numerical models to simulate soft, large-area robotic skin with embedded tactile sensors, with assistance from the Computer Science
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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and