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framework: you will develop comprehensive assessment methodologies to quantify the weaknesses and limitations of LLMs in software vulnerability detection. Explainable detection pipeline: you will investigate
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advanced applications of artificial intelligence and machine learning in a research lab environment. The role contributes to the technical vision and architecture for ML projects and software solutions
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Integrating Multi-Modal Radiomics and AI Co-Pilot Software to Accelerate Cancer Detection and Improve Treatment Decision-Making DoS: Dr Vassilis Cutsuridis (vassilis.cutsuridis@plymouth.ac.uk) 2nd
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Description This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates
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on the grading system). In the French system, this generally corresponds to an excellent Master 2 performance, ranking among the top 10% of the class. This PhD project aims to develop advanced software solutions
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to the VIC model. The candidate will develop novel strategies to simultaneously calibrate parameters and assimilate multiple satellite and in-situ observations of streamflow, soil moisture and groundwater
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to enable drug discovery applications”. Are you interested in mapping the binding sites of the human proteome and developing new pharmacophore software to screen against the sites to identify novel bioactive
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across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable contributions and progress in your
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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knowledge quarters has positioned cities as key sites for economic growth, technological advancement, and sustainable development. However, these environments are inherently complex, involving multiple