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Field
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Microfluidics and lateral flow assay engineering Translational diagnostics and AMR-focused assay development Digital image analysis and Python-based data processing The project includes opportunities
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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and bilateral PA and MACS building on existing and new imaging data obtained by partner groups in the ENDOTRAIN network. The objectives of the project include: Developing reaction-diffusion mathematical
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fuel structure, processing of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote
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, engineering, computational science, imaging, robotics and biology, the lab focuses on addressing major unmet needs (organ regeneration, treatments for neurodegeneration) related to the CNS. About the project
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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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methods to study dynamic cellular processes (live calcium imaging, pathological protein assembly, imaging of signal cascades) at spatial levels ranging from a single molecule to (entire organs of) model
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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process (process-specific design) (2) Optimization of the LPBF process parameters to achieve desired microstructure and material properties, (3) In-depth materials, and property testing and (4) Prototype
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sciences, specifically in the areas of geoinformation systems, cartographic production systems, image data processing and analysis, spatial modeling and animation, geoinformation database technology