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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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place! The successful candidate will work under the academic supervision from the University of Luxembourg, and in close collaboration with its industrial partner SES, in the development of advanced
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area of machine learning. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing
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) Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable, systems development experience is an asset Hard
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the study of software engineering methods and approaches for quantum computing platforms. Successful PhD candidates will extensively explore and develop software security and software engineering techniques
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Markets Act, Markets in Crypto-Assets Regulation, and the AI Act. These frameworks are reshaping how digital financial services are developed, deployed, and governed. Against this backdrop, the ReFIS