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challenging to analyse because of their scale, heterogeneity, and complex spatial and functional dependencies. Existing methods often rely on restrictive assumptions or application-specific computational
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protection system design and optimisation in collaboration with EPSRC, AeroTex UK LLP and Cranfield University. This PhD project lies within the discipline of atmospheric icing science, specifically at the
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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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PhD Researcher (m/f/d): Economic Impacts from Complex Climate Risks Scientist Jena Developmental and Evolutionary Biology & Genetics Immunobiology and Infection Biology & Medicine Earth Sciences and
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Physics-Informed Symbolic Distillation for Domain-Specific Vision Applications (S3.5-COM-dos Santos)
system has reached a particular conclusion. The research will be evaluated using real-world image analysis problems, with potential applications including environmental monitoring, medical imaging and
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Clinical decision support using EHR data Translational validation using human biospecimens and experimental model system Artificial intelligence and machine learning for diabetes research, including Type 1
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more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical
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towards a more resilient, inclusive and sustainable healthcare system by improving equitable access to high quality healthcare for people living in remote and sparsely populated areas. This is evident
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evaluation of SMaRT-PD (Self-Management, Remote Monitoring and Timely Review for Parkinson’s Disease), an innovative Clinical Decision Support System (CDSS) designed to support people with Parkinson’s
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maximise overturning resistance. In addition to direct applications, e.g. windthrow hazard assessment, greater understanding of how root system architecture and geometry provide resistance to different