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Field
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ResTOrES project will develop, test, and demonstrate a prototype resilience assessment toolkit for offshore energy systems. The toolkit will enable the quantification of resilience in terms of appropriate
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predictive capability for post-TAVR outcomes against traditional metrics. iii) Incorporate the AI-based frailty evaluation into surgical risk scores for a comprehensive risk prediction. iv) Examine the model's
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area “statistics to serve society” which focuses on developing statistical methods and software for the analysis of large and complex collections of data. The PhD student(s) is planned to be connected
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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Degree Dr-Ing Doctoral degree or degree awarded by Saarland University or RPTU Kaiserslautern-Landau Course location Saarbrücken In cooperation with Max Planck Institute for Software Systems
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Qualifications Experience with scientific principles, laboratory equipment, and software programs. Experience with specialized tasks and laboratory/field techniques for the position: operate, maintain, calibrate
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Models (LLMs). Orchestrating AI/ML pipelines in 6G. Developing certification and checking processes for code inside ORAN 6G. The research will be a combination of software engineering, radio
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accessibility measure ; oTo test the usability of hybrid accessibility with practitioners.-Expected Results: oDevelopment of ‘hybrid accessibility’ as a new concept in sustainable mobility research ;oDesign of a
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, secure digital communication, medical technology, and new analytical methods. We use and develop basic theory, next-generation instrumentation, and software, and aim to make our data publicly accessible
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Degree Doctorate in Informatics (Dr-Ing or Dr rer nat) Course location Saarbrücken In cooperation with Max Planck Institute for Informatics (MPII) Max Planck Institute for Software Systems (MPI-SWS