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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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Experience with PyTorch/TensorFlow for computer vision tasks Track record of publications in relevant research fields Desirable criteria Multi-modal image analysis expertise Real-time detection and
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/TensorFlow for computer vision tasks Track record of publications in relevant research fields Desirable criteria Multi-modal image analysis expertise Real-time detection and segmentation methods for clinical
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more effective screening and therapy. The postholder will focus on developing and applying advanced computer vision and machine learning methods for multimodal imaging and real-time analysis in
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(generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender). Language & other skills
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participation in East Midlands schools. Beyond implementation, the post-holder will contribute to data analysis, report writing, stakeholder engagement, and the preparation of academic publications, ensuring
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contribute to data analysis, report writing, stakeholder engagement, and the preparation of academic publications, ensuring the study’s findings are effectively disseminated to both scientific and educational
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contribute to data analysis, report writing, stakeholder engagement, and the preparation of academic publications, ensuring the study’s findings are effectively disseminated to both scientific and educational
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social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety
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collection and analysis. There will be scope to contribute to the design of visual or interactive outputs (such as infographics or dashboards) and shape the development of a future larger-scale cohort study